Do you need a degree📜 for Data Science?
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- Опубликовано: 29 сен 2024
- This is mostly true for people in their early careers, if you have many years of experience in a different field those experience matter too and it’s entirely possible to transition your career into data science 📈 although you may need to take a slightly different approach!
Here are some resources to help you get started on python if you have no prior coding experience:
👩🏻💻 W3school and stackoverflow for syntax help
👩🏫 Coursera/edx for systematic overview of data structure and algorithm
🤖 kaggle for datasets and help you get started on projects
💻 leetcode to help you prepare for interviews and consolidate your skills
Follow @insaid
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Ma'am which degree is required for data scientist..what should i do ?? Is BSC CS is good or not
Mam I have completed my bsc in physics.but I would love to continue my career in data science, and i have started looking for the course as well, but I am worried about placement. Can I get a placement for data scientist on the basis of bsc degree?
Yes, it is possible to get a placement as a data scientist with a B.Sc. degree in physics. While a degree in physics may not be specifically tailored to data science, it provides a strong foundation in mathematical modeling, analytical thinking, and problem-solving skills, which are valuable in the field of data science.
Here are some steps you can take to increase your chances of securing a data scientist placement with a B.Sc. degree in physics:
1. Gain Relevant Skills: Enhance your skills in areas relevant to data science, such as statistics, programming, data analysis, and machine learning. Consider taking online courses, participating in data science bootcamps, or pursuing certifications to acquire these skills.
2. Build a Strong Portfolio: Develop a portfolio of data science projects that showcase your ability to analyze data, apply statistical techniques, and build predictive models. Focus on projects that align with the skills and knowledge required for data science roles.
3. Learn Data Science Tools and Languages: Familiarize yourself with popular data science tools and languages, such as Python, R, SQL, and data manipulation libraries like pandas. Being proficient in these tools will demonstrate your ability to work with data effectively.
4. Gain Practical Experience: Seek internships, freelance projects, or part-time roles that allow you to gain practical experience in data science. Practical exposure will not only enhance your skills but also provide valuable industry experience and references.
5. Network and Engage in Data Science Communities: Join data science communities, attend industry events, and participate in online forums to network with professionals in the field. Engaging in discussions, collaborating on projects, and seeking mentorship can open doors to job opportunities and provide valuable insights.
6. Customize Your Resume and Cover Letter: Tailor your resume and cover letter to highlight relevant skills, projects, and experiences that showcase your suitability for data science roles. Emphasize your problem-solving ability, analytical mindset, and your proficiency in data analysis and modeling techniques.
7. Apply to Data Science Job Openings: Regularly search for data science job openings in companies that value candidates with strong analytical skills and a background in physics. Look for roles such as data analyst, junior data scientist, or data science internships that can serve as stepping stones to a full-fledged data scientist position.
Remember, while your degree may not be in data science, your background in physics can bring a unique perspective to the field. Showcase your ability to handle complex data, apply mathematical modeling, and think critically when solving problems. Highlighting your strong quantitative skills and demonstrating your enthusiasm for data science can greatly enhance your chances of securing a data scientist placement.
Im starting my data science degree here in the uk in 8 weeks, im rubbish at maths but i got chatgpt, and ive already been learning python and sql so hopefully that will help, but panicking about maths part abit, this is my first time studying in my life, im 40, graduate at 43, no brainer, do it guys, ive already got a website portfolio.
I want to study data science in uk i m also 40 , could you plz suggest some good university name ?
I don't have maths background can I do data science and it is difficult to learn without maths background
Yes, it is possible to pursue a career in data science without a strong math background. However, having a basic understanding of mathematics is essential for understanding some of the fundamental concepts of data science.
To get started in data science without a math background, you can begin by learning some of the basic concepts in statistics and probability theory. You can also start learning programming languages like Python or R, which are commonly used in data science. Many online resources are available, including courses, tutorials, and forums where you can interact with other learners and ask questions.
While it may be challenging at first, with dedication and effort, you can build the necessary skills to become a successful data scientist. Additionally, many online resources are available, including courses, tutorials, and forums where you can interact with other learners and ask questions.
Takes time
Lot of difficulties
But nothing is hard if u determined enough
Can diploma in engineering is valid
Hello mam my question is
I have done data science course .
But i wnt to go for top companies so
Can you advice me i need to work on y skills
Or do masters
Like i am planning for MCA
If you have already completed a data science course and want to pursue opportunities with top companies, here are some skills you can further develop to enhance your prospects:
1. Advanced Machine Learning: Deepen your knowledge and understanding of machine learning algorithms and techniques. Focus on advanced topics such as deep learning, natural language processing, reinforcement learning, and computer vision. Familiarize yourself with popular libraries and frameworks like TensorFlow, Keras, PyTorch, and scikit-learn.
2. Big Data Technologies: Gain proficiency in big data technologies such as Apache Hadoop, Apache Spark, and distributed computing frameworks. Understanding how to work with large-scale data sets and perform distributed processing can be valuable in handling real-world data challenges.
3. Cloud Computing: Familiarize yourself with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Develop skills in deploying and managing data science projects on the cloud, utilizing services like Amazon S3, EC2, SageMaker, or Azure Machine Learning.
4. Data Engineering: Acquire skills in data engineering to efficiently handle and process large volumes of data. Learn about data pipelines, ETL (Extract, Transform, Load) processes, data warehousing, and databases such as SQL and NoSQL. Understanding data engineering concepts and practices will complement your data science skills.
5. Data Visualization: Enhance your data visualization skills to effectively communicate insights and findings. Learn to use visualization libraries like Matplotlib, ggplot, or Tableau to create compelling and informative visual representations of data.
6. Soft Skills: While technical skills are important, developing soft skills is equally crucial. Work on your communication, presentation, and teamwork abilities. Focus on improving your ability to translate technical concepts to non-technical stakeholders, collaborate effectively with cross-functional teams, and present your work in a clear and concise manner.
Regarding pursuing an MCA (Master of Computer Applications) degree, it can be a valuable option, especially if you want to deepen your understanding of computer science concepts and gain a formal degree. An MCA program can provide a comprehensive curriculum covering areas such as algorithms, software engineering, database management, and system design. It can also open doors to job opportunities and provide a structured learning experience.
Consider your specific career goals, interests, and learning preferences when deciding whether to pursue an MCA degree. Evaluate the curriculum and reputation of the programs you are considering and weigh the time and financial investment required.
Remember, continuous learning, practical experience, and keeping up with industry trends are key to success in the field of data science. Stay curious, work on projects, participate in competitions, contribute to open-source projects, and seek networking opportunities to enhance your skills and increase your chances of securing opportunities with top companies.
Ma'am is bachelor's degree in data science good ?
I guess it is
Bsc Or BS Data Science
Ma'am what to do after 12 th to get into this field.plz reply🙌🙌🙌
Do a BS in Data science
From IIT Madras
So far it's the best in India
For Data Science
@@hiteshananda8975How can i get admission there
@@Salma_180 youtube it. All info there it's all online
@@hiteshananda8975 But it's online , we cant get offline
@@btslove-ox5ny2zd4w you can if ur cgpa 8+ then last two year u can join
I have a degree in psychology and did statistics. can I become a data scientist or do I need a degree in data science/ math?
I have the same question and I'm from Chile
Mam can I become a data scientist after bsc bioinformatics?
Yes, it is possible to become a data scientist after completing a BSc in Bioinformatics.
Bioinformatics involves the use of computational tools and statistical methods to analyze biological data. This field requires a strong foundation in computer science, mathematics, statistics, and biology, which are all relevant to data science.
To become a data scientist, you will need to acquire additional skills in areas such as data analysis, machine learning, and programming languages commonly used in data science, such as Python and R. You can do this through further education, such as a master's degree in data science or a related field, or through self-study and practical experience.
It is also important to gain practical experience through internships or projects, to build a portfolio that demonstrates your skills and knowledge in data science. Networking with professionals in the field can also help you to learn about job opportunities and to develop a career path in data science.
Can Bsc nursing graduate do data analyst course..?
Hello bhai
Hi maam my question is
B tech in AI and ML is good for data scientist
Yes, a Bachelor of Technology (B.Tech) degree in Artificial Intelligence (AI) and Machine Learning (ML) can be a good starting point for a career as a data scientist. This degree provides a strong foundation in key concepts of AI and ML, as well as programming languages and tools commonly used in data science.
However, it's important to note that a B.Tech degree alone may not be sufficient to become a data scientist. In addition to a solid educational background, data scientists typically have a combination of technical and analytical skills, as well as experience in working with data and solving complex problems.
Therefore, it's recommended to gain practical experience through internships, projects, or other hands-on opportunities while pursuing a B.Tech in AI and ML. It's also important to continue learning and staying up-to-date with new technologies and trends in the field.
Ma’am what should i do for data science like mba in data science or mca in data science
MBA and MCA are both considered critical courses in the modern corporate world. However, in general, an MBA is a better route for an applicant who is more likely to take on leadership and management jobs, while an MCA is a better road for a student who wants to enhance their technical abilities.
Bs in Data Science
I m pursuing my degree in bca Ai am i able to get into data scientist r data analyst
Which stream i should take in 11 th and degrees i should do pls tell 🙏
Choose commerce or science stream with computer science as you additional subject.
So what should I get degree in computer science or software engineering
How long does it takes to become data scientist after bca
To become a data scientist, you typically need to acquire knowledge and skills in several areas, including statistics, mathematics, programming, machine learning, and data visualization. You may also need to have knowledge in domain-specific areas, such as business, finance, or healthcare.
To gain the necessary knowledge and skills, you may need to pursue additional education or training. Some options include:
Pursuing a Master's degree in Data Science or a related field.
Taking online courses or certifications in data science and related areas.
Participating in data science bootcamps or workshops.
Building a portfolio of data science projects to showcase your skills.
The duration of these options can vary widely depending on the program, the amount of time you can commit, and your learning pace.
Hey can you help me please
I am thinking about pursuing data science from iit madras (online).
My question is which degree will be better along with it.
(Considering I'm from PCMB background in 12th)
I am looking forward to pursue two degrees at a time.
Please reply!!!!!?
In my cluntry there is a degree in statistics, a degree in statistical engoneering combined woth data science, statistical engineering alone and other engineerings that can be trained to become data scientists. Which one should I pursue?
is there more while pursuing a degree in data sci or is this it?
i have done bms is there anyway i can do msc in data science
if yes, plsssss helpme
How much data scientist earn ?
Can Bsc nursing graduate do data analyst course..?
Mam how much time require to become a data sciencist as a pcb student also a fresher
Vanakam
ma'am can I do data science while doing bachlor degree in financial account
Ma'am if you see my message please reply me its help me a lot I'm a student of non- science background and I'm pursuing English Honours and I want to be a data scientist so ma'am "can I do data science course or not" ? Please please tell me 🙏🙏 and "which is the best website do you think is right to do this course from"? Please ma'am reply me 💛💛
Yes, You can do a BS in Data science
From IIT Madras even when you are from non-science background.
So far it's the best in India
For Data Science
Search about it about IIT Madras Data Science program in RUclips
Or you can simply read the details from their own official website
Ohh thank you for helping... thanks alot☺☺
@@hem27 glad I could assist.
Tbh I'm personally doing it
@@hiteshananda8975 thank uhh... ohh really that's great.. But do you have to face problems because I have heard that people from non-science background face some problems?
@@hem27 not so sure about that friend, I'm perosnally from PCMB background.
But I still find problem in subject like Statistics and Maths.
Obviously it will be harder for a non-science student, but if you are determined enough to do it, it'll take some time. I suggest start with Class 11&12 maths (hoping you had maths till 10)
Then go and watch IIT-M videos before applying for the program.
Once you are pretty confident with Maths, rest subjects will be nothing but a piece of cake.
So far the only big hard thing there is Maths Stat nd Coding.
Almost evryone have 0 idea on Coding and even less in Statistics.
So we all have to suffer and work hard.
At the end Switching from a non-sci to a sci background will be harder. But with enough time absolutely nothing is impossible.
Just go for NCERT maths 11&12.
Guge 3-6hrs per day
And u will finish it soon.
As I said earlier, once done with Maths, evrything is a piece of cake.
!!!
BEST OF LUCK BRO/SIS
Mam data scientist bnne ke liye konsa exam dena hota h
You don't need to appear for any exams. Instead, you can pursue your graduation in a relevant discipline like mathematics, economics, statistics, engineering, or computer science. If you have completed your graduation in a different field, you can consider taking some paid courses or start self-learning if there are any financial constraints. I hope I've been able to address your needs. 😊
@@RbiAspirants-y9f btech or BCA WHAT WOULD U RECOMMEND FOR DATA SCEINCE??
I have a degree in psychology and did statistics. can I become a Data Scientist or do I need a degree in math or data science?
mam I am bs ms mathematics student how can I pursue a career in data science or data analyst,pls reply
As a BS-MS mathematics student, you already have a strong foundation in quantitative skills, which is beneficial for a career in data science or data analysis.
Here are steps you can take to pursue a career in these fields:
1. Build a Strong Foundation: Ensure that you have a solid understanding of mathematics, statistics, and probability. Familiarize yourself with relevant mathematical concepts and techniques used in data science.
Learn Programming Languages:
2. Gain proficiency in programming languages commonly used in data science, such as Python or R. These languages are essential for data manipulation, analysis, and machine learning.
Acquire Data Analysis Skills:
3. Develop skills in data manipulation and analysis using tools and libraries like Pandas, NumPy, and scikit-learn in Python, or similar tools in R.
4. Understand Data Visualization: Learn how to effectively communicate insights from data through data visualization tools like Matplotlib, Seaborn (Python), ggplot2 (R), or Tableau.
5. Explore Machine Learning: Familiarize yourself with machine learning algorithms and techniques. Online platforms like Coursera, edX, and DataCamp offer courses on machine learning.
6. Gain Practical Experience: Work on real-world projects to apply your skills. You can find datasets on platforms like Kaggle to practice and participate in data science competitions.
7. Earn a Specialized Degree or Certification: Consider pursuing a master's degree or certification program in data science or a related field. Many universities and online platforms offer specialized programs that can enhance your knowledge and credentials.
8. Network and Join Communities: Connect with professionals in the field, attend meetups, and join online communities related to data science. Networking can provide valuable insights and opportunities.
9. Create an Online Presence: Showcase your skills by creating a portfolio of projects on platforms like GitHub. Having an online presence can make it easier for employers to assess your capabilities.
Remember that the field of data science is dynamic, and ongoing learning is essential. Stay updated on industry trends, explore new tools and techniques, and adapt to changes in the field. By combining your mathematical background with practical skills and experiences, you can position yourself for a successful career in data science or data analysis.
Can Bsc nursing graduate do data analyst course..?
Yes, Both Medical/eng, commerce even arts people can do it.
Do a BS in Data science
From IIT Madras
So far it's the best in India
For Data Science
Search about it about IIT Madras Data Science program in RUclips
Or you can simply read the details from their own official website
I had completed my graduation on 2015 , as BAF (, bachelor in accounting and finance.)
And now I want to make a career in data science so what I have to do.?
You can do a BS in Data science
From IIT Madras
So far it's the best in India
For Data Science
Search about it about IIT Madras Data Science program in RUclips
Or you can simply read the details from their own official website
Can I become data scientist through diploma in computer science
It is possible to become a data scientist with a diploma in computer science, but it may require additional education and training in data science specific skills.
A diploma in computer science can provide you with a strong foundation in computer programming, software development, and database management. These skills are essential for a career in data science, as much of the work involves working with large datasets and programming languages such as Python and R.
However, data science is a multidisciplinary field that also requires knowledge of statistics, machine learning, and data visualization. Therefore, you may need to supplement your diploma in computer science with additional courses or a degree in a related field such as statistics, mathematics, or data science.
Furthermore, practical experience in data analysis and machine learning is critical in becoming a successful data scientist. Participating in projects or internships that involve working with data can help you build a portfolio of work and gain valuable experience in the field.
In summary, while a diploma in computer science can provide a foundation for a career in data science, additional education, and practical experience will likely be necessary to become a successful data scientist.
Mama I'm from commerce background without maths which degree should I choose which will be actually usefull in being a data scientist
If you come from a commerce background without mathematics, there are still several degree options that can be beneficial in pursuing a career in data science. Here are some degrees you can consider:
1. Bachelor's degree in Statistics: Statistics is a key discipline in data science, and a degree in statistics can provide you with a strong foundation in data analysis, probability, and statistical modeling. This degree will equip you with the necessary skills to work with data and build statistical models.
2. Bachelor's degree in Economics: Economics often involves data analysis, econometrics, and quantitative methods, which are valuable skills in data science. This degree can provide you with a solid understanding of how to analyze and interpret data in the context of economic phenomena.
3. Bachelor's degree in Business Analytics: Business analytics programs focus on using data to drive business insights and decision-making. These programs typically cover areas such as data mining, data visualization, predictive modeling, and business intelligence. A degree in business analytics can provide you with a combination of business knowledge and data analysis skills, which are highly relevant to data science roles.
4. Bachelor's degree in Data Science: Some universities offer specialized undergraduate programs in data science that cover a range of topics such as mathematics, statistics, programming, machine learning, and data analysis. These programs are designed to provide a comprehensive understanding of data science concepts and techniques.
While pursuing these degrees, you may also consider supplementing your education with additional courses or certifications in programming, statistics, and machine learning. Building a strong skill set in areas such as Python, R, SQL, data manipulation, and data visualization will greatly benefit you in your data science career.
Remember, while a specific degree can provide a solid foundation, practical experience and continuous learning are equally important. Engaging in projects, internships, participating in data science competitions, and staying updated with the latest trends and technologies will enhance your skills and increase your chances of success in the field of data science.
Maam , is it possible to became a data scientist for those who choosed commerce in +1. If it is possible, which degree is better for them ??😑
Yes, it is possible to become a data scientist even if you have pursued commerce in 11th and 12th grade. While a background in subjects like mathematics, statistics, and computer science can be advantageous, it is not a strict requirement for entering the field of data science.
Here are some degrees that commerce students can consider pursuing to build a career in data science:
1. Bachelor's degree in Data Science: Several universities and colleges now offer undergraduate programs specifically focused on data science. These programs cover a range of topics, including statistics, programming, data analysis, machine learning, and business intelligence. Pursuing a bachelor's degree in data science can provide you with a comprehensive understanding of the field and the necessary technical skills.
2. Bachelor's degree in Mathematics or Statistics: A degree in mathematics or statistics can be highly beneficial for a career in data science. These programs equip you with strong analytical and quantitative skills, which are fundamental to working with data and building statistical models. You can then further enhance your data science knowledge through additional courses or certifications in programming and machine learning.
3. Bachelor's degree in Business Analytics: A degree in business analytics combines business knowledge with data science techniques. These programs typically focus on using data to make informed business decisions, and they cover areas such as data mining, data visualization, predictive modeling, and business intelligence. This degree can provide you with a strong foundation in data-driven decision-making and business acumen.
4. Bachelor's degree in Economics: While economics may not be a direct route to data science, it can be a valuable degree for those interested in analyzing economic data or working in industries such as finance or marketing. Economics programs often involve statistical analysis, econometrics, and quantitative modeling, which are relevant skills in data science.
It's important to note that a specific degree is not the sole determinant of a successful career in data science. While these degree programs can provide a structured path and foundational knowledge, practical experience, continuous learning, and developing a strong skill set in areas like programming, machine learning, and data analysis are equally important.
Additionally, pursuing relevant certifications, participating in data science competitions, contributing to open-source projects, and building a portfolio of data science projects can greatly enhance your chances of securing a data science role.
Remember, data science is an interdisciplinary field that encompasses various domains, including mathematics, statistics, computer science, business, and more. The key is to acquire the necessary knowledge and skills through a combination of formal education, practical experience, and continuous learning to excel in the field of data science.
I have diploma in non CS and I'm 32year old is it possible to start data scientist jobs?
Yes, it is possible to start a career in data science even if you have a diploma in a non-computer science field and are 32 years old. While a formal education in computer science or a related field can be beneficial, it is not always a strict requirement for entering the field of data science.
Here are a few steps you can take to transition into a data science role:
1. Develop your skills: Start by gaining a solid foundation in programming, statistics, and mathematics. There are numerous online resources, tutorials, and courses available that can help you learn these skills at your own pace.
2. Learn data science concepts and tools: Familiarize yourself with key data science concepts, such as machine learning, data manipulation, data visualization, and data analysis. Additionally, explore popular data science tools and libraries, such as Python, R, SQL, and frameworks like TensorFlow or scikit-learn.
3. Build a portfolio: As you learn and practice data science, work on projects that showcase your skills. Build a portfolio of projects that demonstrate your ability to analyze data, draw insights, and create predictive models.
4. Gain practical experience: Look for opportunities to apply your data science skills in real-world scenarios. This could include internships, freelance projects, or contributing to open-source projects. Practical experience will enhance your understanding and provide valuable references for future job applications.
5. Networking and professional development: Attend data science meetups, conferences, and online forums to connect with professionals in the field. Networking can lead to job opportunities and help you stay updated on the latest trends and technologies in data science.
6. Apply for entry-level positions: Start by applying for entry-level data science roles or positions that require data analysis or related skills. While you may not start as a data scientist immediately, gaining experience in related roles will help you progress towards your goal.
Remember that the field of data science is continually evolving, and there is a high demand for professionals with strong analytical skills. Demonstrating your passion, dedication, and a willingness to learn will greatly increase your chances of starting a successful career in data science, regardless of your background.
Hello mam I had maths till 12th but in graduation I took humanities. But I am good at maths. Is it possible for me to make a carrier in data science??
You can do a BS in Data science
From IIT Madras
So far it's the best in India
For Data Science
Search about it about IIT Madras Data Science program in RUclips
Or you can simply read the details from their own official website
is jee compulsory for data science?
No, JEE (Joint Entrance Examination) is not compulsory for Data Science. JEE is an entrance exam for admission to undergraduate engineering courses in India, whereas Data Science is a multidisciplinary field that combines computer science, statistics, and domain expertise to extract insights and knowledge from data.
While a background in mathematics, statistics, and computer science is essential for a career in Data Science, there is no specific requirement for JEE. Students with a strong foundation in these subjects can pursue undergraduate or graduate programs in Data Science or related fields.
Maths ka kya kaam hai isme
Bina maths ke bhi to ho sakta hai na
No no
Maths is literally the backbone for this degree
Mam I'm a pcb student and recently gave neet exam but now want to choose data science .I have no idea from where to start please guide for these
If you are a student with a background in physics, chemistry, and biology and you want to pursue a career in data science, here are some steps you can follow to get started:
1. Solidify your foundational knowledge: Data science heavily relies on mathematics and statistics. Strengthen your understanding of these subjects, including concepts like linear algebra, calculus, probability, and hypothesis testing. This will provide a strong foundation for the analytical aspects of data science.
2. Learn programming: Programming is a fundamental skill in data science. Start by learning a programming language commonly used in data science, such as Python or R. There are many online resources, tutorials, and courses available that can help you learn programming from scratch.
3. Understand data manipulation and analysis: Familiarize yourself with tools and libraries used for data manipulation and analysis, such as pandas, NumPy, and SQL. Learn how to import, clean, preprocess, and analyze data using these tools.
4. Dive into machine learning: Machine learning is a key component of data science. Start by learning the basic concepts and algorithms of machine learning, such as linear regression, logistic regression, decision trees, and clustering. Explore popular machine learning libraries like scikit-learn and TensorFlow.
5. Practice with projects: Work on hands-on projects that involve real-world datasets. This will help you apply your knowledge, gain practical experience, and build a portfolio to showcase your skills to potential employers.
6. Explore data visualization: Data visualization is essential for effectively communicating insights and findings. Learn how to use visualization tools like Matplotlib or ggplot to create meaningful and impactful visualizations.
7. Stay updated and join communities: Data science is a rapidly evolving field. Stay updated with the latest trends, techniques, and tools by following blogs, attending webinars, and joining data science communities like Kaggle or DataCamp. Engage in discussions and collaborate with fellow data enthusiasts.
8. Consider pursuing formal education or certifications: While not mandatory, formal education or certifications in data science can provide you with structured learning and industry-recognized credentials. Look for relevant degree programs, online courses, or certifications that align with your interests and goals.
Remember, learning data science is a continuous process, and practical application is crucial. As you gain more knowledge and experience, try to work on challenging projects and seek opportunities for internships or work experience in data-related roles. Networking with professionals in the field can also open doors to job opportunities and valuable insights.
Don't be discouraged by your background in physics, chemistry, and biology. Many skills from these disciplines, such as critical thinking, problem-solving, and data analysis, are highly relevant to data science. With dedication, continuous learning, and hands-on experience, you can successfully transition into a data science career.
Bro what did you do now as I'm also from pcb background and I want to make my career in data science and in March I'll give my 12th board exam please do respond bro...!
Hi mam can I do MBA data science in data science career
Yes, pursuing an MBA with a specialization in data science can be a viable path for a career in the field. An MBA program with a focus on data science offers a combination of business knowledge and analytics skills, which can be highly valuable in data-driven decision-making roles.
Here are some key points to consider if you are interested in pursuing an MBA in data science:
1. Program curriculum: Research and evaluate MBA programs that offer a specialization or concentration in data science. Look for programs that cover topics such as data analysis, statistical modeling, machine learning, data visualization, and business analytics. Review the course structure and ensure it aligns with your career goals and interests.
2. Business acumen: An MBA program provides a strong foundation in business management, strategy, and leadership. This knowledge can complement your data science skills and help you understand how data-driven insights can impact business decisions and drive organizational growth.
3. Networking opportunities: MBA programs often offer networking opportunities, such as guest lectures, industry events, and alumni networks. Building connections with professionals in the field can provide valuable insights, mentorship, and potential job opportunities.
4. Internships and experiential learning: Look for programs that offer internships or experiential learning opportunities where you can apply your data science skills in real-world scenarios. Practical experience is highly valuable when entering the job market.
5. Industry partnerships and placements: Investigate whether the MBA program has partnerships with companies in the data science field or offers strong placement assistance. This can increase your chances of securing internships or job placements upon graduation.
6. Complementary skill development: While pursuing an MBA, consider expanding your skill set beyond data science. Develop your communication, presentation, and project management skills, as these are important in effectively conveying insights and managing data-driven projects.
Keep in mind that an MBA is not the only path to a career in data science. There are alternative options, such as pursuing a master's degree in data science, statistics, or a related field. Consider your specific career goals, learning preferences, and the skills you wish to acquire before making a decision.
Ultimately, the combination of an MBA with a specialization in data science can provide you with a unique skill set that blends business knowledge and analytical expertise, making you well-equipped to tackle data-driven challenges in managerial roles within organizations.
@@Accredian is there mba with data science . Colleges in hyderabad!!
Ma'am which college degree is good to become a data scientists
In India, several colleges and universities offer degrees that can provide a strong foundation for a career in data science. Here are some renowned institutions known for their data science programs:
1. Indian Institutes of Technology (IITs):
Indian Institute of Technology, Bombay (IIT Bombay)
Indian Institute of Technology, Delhi (IIT Delhi)
Indian Institute of Technology, Madras (IIT Madras)
Indian Institute of Technology, Kharagpur (IIT Kharagpur)
Indian Institute of Technology, Kanpur (IIT Kanpur)
Indian Institute of Technology, Roorkee (IIT Roorkee)
2. Indian Statistical Institutes (ISIs):
Indian Statistical Institute, Kolkata
Indian Statistical Institute, Delhi
Indian Statistical Institute, Bangalore
Indian Statistical Institute, Chennai
Birla Institute of Technology and Science (BITS), Pilani
3. Indian School of Business (ISB), Hyderabad
4. International Institute of Information Technology (IIITs):
International Institute of Information Technology, Hyderabad
International Institute of Information Technology, Bangalore
International Institute of Information Technology, Delhi
International Institute of Information Technology, Bhubaneswar
5. University of Delhi, Delhi
6. University of Hyderabad, Hyderabad
7. Xavier School of Management (XLRI), Jamshedpur
Please note that this is not an exhaustive list, and there are several other universities and colleges in India that offer data science programs or relevant degrees. It's essential to research and evaluate the curriculum, faculty, industry connections, and placement opportunities of each institution before making a decision.
Additionally, keep in mind that pursuing a degree is just one aspect of building a career in data science. Practical experience, continuous learning, and developing a strong skill set through projects, internships, certifications, and self-study are equally important in the field of data science.
Can I do bsc data science if I'm PCB student. pls reply
Hi!
It is understandable that you would be sceptical about going into the field of Data Science, given your core subject was biology and not maths. However, you can start learning data science without any preconceptions, after all, everyone started at the same place, and even maths students have to often revisit the basics to keep their foundation strong.
Here is how you can approach learning in order to become a data scientist.
It is a good strategy to start with building your foundation in mathematics. The main topics to cover are:
Linear Algebra
Logic Gates
Calculus
Probability
Statistics (Descriptive statistics, inferential statistics, experimental design, hypothesis testing)
The next step would be to learn a programming language. Listed down are a few languages you may look into:
Python
R
SAS
SPSS
Another language need to learn is SQL, it is comparatively easy and can be used in combination with programming languages.
Being able to represent data and its insights is as important as being able to draw them. Data visualization plays a major role in the field of data science. You can use various tools like Tableau, PowerBI, etc.
In fact, it is good to introduce yourself to multiple big data tools at this level, look into Hadoop as well while you are at it.
Register on Kaggle.
“Kaggle is an AirBnB for Data Scientists - this is where they spend their nights and weekends. It’s a crowd-sourced platform to attract, nurture, train and challenge data scientists from all around the world to solve data science, machine learning and predictive analytics problems.”
Once you have started working on practice projects, start making your project portfolio and build your profile in order to apply for the position of a data scientist.
Goodluck!
@@Accredian thank you so much
Non IT related background ho tou data science ki konse certificates karke eligible hosaktay hain for admission in masters in data science?
Yes, it is possible to become a data scientist even if you have pursued non-technical domains. While a background in subjects like mathematics, statistics, and computer science can be advantageous, it is not a strict requirement for entering the field of data science.
Here are some degrees that commerce students can consider pursuing to build a career in data science:
1. Bachelor's degree in Data Science: Several universities and colleges now offer undergraduate programs specifically focused on data science. These programs cover a range of topics, including statistics, programming, data analysis, machine learning, and business intelligence. Pursuing a bachelor's degree in data science can provide you with a comprehensive understanding of the field and the necessary technical skills.
2. Bachelor's degree in Mathematics or Statistics: A degree in mathematics or statistics can be highly beneficial for a career in data science. These programs equip you with strong analytical and quantitative skills, which are fundamental to working with data and building statistical models. You can then further enhance your data science knowledge through additional courses or certifications in programming and machine learning.
3. Bachelor's degree in Business Analytics: A degree in business analytics combines business knowledge with data science techniques. These programs typically focus on using data to make informed business decisions, and they cover areas such as data mining, data visualization, predictive modeling, and business intelligence. This degree can provide you with a strong foundation in data-driven decision-making and business acumen.
4. Bachelor's degree in Economics: While economics may not be a direct route to data science, it can be a valuable degree for those interested in analyzing economic data or working in industries such as finance or marketing. Economics programs often involve statistical analysis, econometrics, and quantitative modeling, which are relevant skills in data science.
It's important to note that a specific degree is not the sole determinant of a successful career in data science. While these degree programs or certificates can provide a structured path and foundational knowledge, practical experience, continuous learning, and developing a strong skill set in areas like programming, machine learning, and data analysis are equally important.
Additionally, pursuing relevant certifications, participating in data science competitions, contributing to open-source projects, and building a portfolio of data science projects can greatly enhance your chances of securing a data science role.
Remember, data science is an interdisciplinary field that encompasses various domains, including mathematics, statistics, computer science, business, and more. The key is to acquire the necessary knowledge and skills through a combination of formal education, practical experience, and continuous learning to excel in the field of data science.
@@Accredian Thanks a lot for the reply. You took out so much time and effort for me.
@@YousafKhan-zn1ql Our pleasure
Ma'am pls tell how to become data science through commerce field after 12th
Do a BS in Data science
From IIT Madras
So far it's the best in India
For Data Science
Search about it about IIT Madras Data Science program in RUclips
Or you can simply read the details from their own official website
@@hiteshananda8975 currently I'm in 12th grade and have pcb as subjects can i do bsc in data science from IIT Madras. please tell me?
@@IamMuhammadZaid yes u can
@@hiteshananda8975 but in online mode not offline 😭
@@IamMuhammadZaid u can join after 2nd yr, if ur marks good
Do we need to give jee exam for data science after 12 th
Nope
Jee is for engineering only. Btech
You can do a BS in Data science
From IIT Madras
So far it's the best in India
For Data Science
Search about it about IIT Madras Data Science program in RUclips
Or you can simply read the details from their own official website
Shall I first do computer science engineering then master's in data science?
@@simranpal4551 not sure about that
Wy not pursue both at the same time
@@hiteshananda8975 how?
No you do NOT NEED one but it helps.