AfterWork
AfterWork
  • Видео 195
  • Просмотров 80 703
Deep Dive Ep #7: How to Land a Data Science Job
Resources
--------------
Practice Resources Link:
Get Started with Our Data Learning Paths
----
1. Data Science with Python: afterwork.ai/challenge-signup/data-science-with-python-challenge
2. Data Engineering with Python: afterwork.ai/challenge-signup/data-engineering-with-python-learning-path
3. Machine Learning with Python: afterwork.ai/challenge-signup/machine-learning-with-python-learning-path
4. Data Analytics with Python: afterwork.ai/challenge-signup/data-analytics-with-python-challenge
5. Data Science with R: afterwork.ai/challenge-signup/data-science-with-with-r-challenge
6. Open AI Series: afterwork.ai/challenge-signup/open-ai-series-challenge
7. Python Programming Fundamentals: afterwo...
Просмотров: 38

Видео

Deep Dive Ep #6: How to learn Python fast
Просмотров 792 месяца назад
The video covers eight strategies to speed up Python learning, emphasizing core fundamentals, daily practice, project-building, and understanding the Python ecosystem. It also suggests applying skills in real-world scenarios, using AI tools, joining learning communities, and regularly reviewing progress. Additionally, the video features a 3-month learning plan and a success story, illustrating ...
Deep Dive Ep #5: Data Science in Banking
Просмотров 512 месяца назад
The video explores the transformative impact of data science on banking in emerging markets, where it plays a crucial role in expanding financial services and promoting inclusion. Key applications of data science include enabling credit scoring for the unbanked, providing mobile-first banking options, and using advanced analytics for fraud detection and risk management. Data science also enhanc...
Deep Dive Ep #4: Data Science in Healthcare
Просмотров 662 месяца назад
The video sheds light on the transformative role of data science in healthcare, particularly within emerging markets. It discusses how data science tools and techniques are enhancing various aspects of healthcare-from diagnosing and treating patients more accurately to improving healthcare access in underserved rural areas. Additionally, it explores data-driven methods for streamlining hospital...
Deep Dive Ep #3: What is Data Engineering?
Просмотров 392 месяца назад
This video offers an in-depth look into the world of data engineering, unpacking the role’s responsibilities, benefits, and essential techniques. It explains why data engineering is crucial for both individuals seeking rewarding careers and organizations needing efficient data systems. Real-life project examples demonstrate the impactful work data engineers do, from managing data pipelines to o...
Deep Dive Ep #2: What is Data Science?
Просмотров 432 месяца назад
This video provides an insightful introduction to data science, breaking down its core concepts, essential tools, and real-world applications. It begins by defining data science as a field that combines various disciplines to extract meaningful insights from data, highlighting how both individuals and organizations can benefit from its transformative power. Through relatable examples, the video...
Deep Dive Ep #1: Staying Motivated as a Data Analyst
Просмотров 622 месяца назад
The video presents a collection of strategies for data analysts to stay motivated and productive in their work. It covers several areas, including recognizing and addressing challenges, setting SMART goals, embracing continuous learning, seeking feedback and mentorship, celebrating successes, finding inspiration and purpose, balancing work with self-care, and pursuing challenging opportunities....
Visualizing Financial Data Using Python Course
Просмотров 904 месяца назад
Resources Practice Resources Link: afterwork.ai/c/visualizing-financial-data-with-python Get Started with Our Data Learning Paths 1. Data Science with Python: afterwork.ai/challenge-signup/data-science-with-python-challenge 2. Data Engineering with Python: afterwork.ai/challenge-signup/data-engineering-with-python-learning-path 3. Machine Learning with Python: afterwork.ai/challenge-signup/mach...
Data Cleaning and Preprocessing for Banking Course
Просмотров 1094 месяца назад
Resources Practice Resources Link: afterwork.ai/c/data-cleaning-and-preprocessing-for-banking Get Started with Our Data Learning Paths 1. Data Science with Python: afterwork.ai/challenge-signup/data-science-with-python-challenge 2. Data Engineering with Python: afterwork.ai/challenge-signup/data-engineering-with-python-learning-path 3. Machine Learning with Python: afterwork.ai/challenge-signup...
Data Manipulation and Transformation with SQL Course
Просмотров 854 месяца назад
Resources Practice Resources Link: afterwork.ai/c/data-manipulation-and-transformation-with-sql Get Started with Our Data Learning Paths 1. Data Science with Python: afterwork.ai/challenge-signup/data-science-with-python-challenge 2. Data Engineering with Python: afterwork.ai/challenge-signup/data-engineering-with-python-learning-path 3. Machine Learning with Python: afterwork.ai/challenge-sign...
Joining Data with SQL Course
Просмотров 784 месяца назад
Resources Practice Resources Link: afterwork.ai/c/joining-data-with-sql Get Started with Our Data Learning Paths 1. Data Science with Python: afterwork.ai/challenge-signup/data-science-with-python-challenge 2. Data Engineering with Python: afterwork.ai/challenge-signup/data-engineering-with-python-learning-path 3. Machine Learning with Python: afterwork.ai/challenge-signup/machine-learning-with...
Introduction to SQL Course
Просмотров 1234 месяца назад
Resources Practice Resources Link: afterwork.ai/c/introduction-to-sql Get Started with Our Data Learning Paths 1. Data Science with Python: afterwork.ai/challenge-signup/data-science-with-python-challenge 2. Data Engineering with Python: afterwork.ai/challenge-signup/data-engineering-with-python-learning-path 3. Machine Learning with Python: afterwork.ai/challenge-signup/machine-learning-with-p...
Data Visualization with Altair Course
Просмотров 964 месяца назад
Resources Practice Resources Link: afterwork.ai/c/data-visualization-with-altair Get Started with Our Data Learning Paths 1. Data Science with Python: afterwork.ai/challenge-signup/data-science-with-python-challenge 2. Data Engineering with Python: afterwork.ai/challenge-signup/data-engineering-with-python-learning-path 3. Machine Learning with Python: afterwork.ai/challenge-signup/machine-lear...
Working with Dates and Times in Python Course
Просмотров 705 месяцев назад
Resources Practice Resources Link: afterwork.ai/c/working-with-dates-and-times-in-python Get Started with Our Data Learning Paths 1. Data Science with Python: afterwork.ai/challenge-signup/data-science-with-python-challenge 2. Data Engineering with Python: afterwork.ai/challenge-signup/data-engineering-with-python-learning-path 3. Machine Learning with Python: afterwork.ai/challenge-signup/mach...
Data Analysis with Modin Course
Просмотров 5865 месяцев назад
Resources Practice Resources Link: afterwork.ai/c/data-analysis-with-modin Get Started with Our Data Learning Paths 1. Data Science with Python: afterwork.ai/challenge-signup/data-science-with-python-challenge 2. Data Engineering with Python: afterwork.ai/challenge-signup/data-engineering-with-python-learning-path 3. Machine Learning with Python: afterwork.ai/challenge-signup/machine-learning-w...
Big Data Processing with Vaex Course
Просмотров 675 месяцев назад
Big Data Processing with Vaex Course
Parallel Data Processing with Python Dask Course
Просмотров 975 месяцев назад
Parallel Data Processing with Python Dask Course
Data Analysis with Polars Course
Просмотров 1445 месяцев назад
Data Analysis with Polars Course
Building a Data Analysis Library in Python
Просмотров 1535 месяцев назад
Building a Data Analysis Library in Python
GPT-4o mini with Python Course
Просмотров 1995 месяцев назад
GPT-4o mini with Python Course
Pandas Library Challenge: Day 30 of 30
Просмотров 2025 месяцев назад
Pandas Library Challenge: Day 30 of 30
Pandas Library Challenge: Day 29 of 30
Просмотров 1305 месяцев назад
Pandas Library Challenge: Day 29 of 30
Pandas Library Challenge: Day 28 of 30
Просмотров 1155 месяцев назад
Pandas Library Challenge: Day 28 of 30
Pandas Library Challenge: Day 27 of 30
Просмотров 895 месяцев назад
Pandas Library Challenge: Day 27 of 30
Pandas Library Challenge: Day 26 of 30
Просмотров 1015 месяцев назад
Pandas Library Challenge: Day 26 of 30
Pandas Library Challenge: Day 25 of 30
Просмотров 2765 месяцев назад
Pandas Library Challenge: Day 25 of 30
Pandas Library Challenge: Day 24 of 30
Просмотров 766 месяцев назад
Pandas Library Challenge: Day 24 of 30
Data Analysis with PandaSQL Course
Просмотров 2106 месяцев назад
Data Analysis with PandaSQL Course
Pandas Library Challenge: Day 23 of 30
Просмотров 586 месяцев назад
Pandas Library Challenge: Day 23 of 30
Pandas Library Challenge: Day 22 of 30
Просмотров 716 месяцев назад
Pandas Library Challenge: Day 22 of 30

Комментарии

  • @derick1850
    @derick1850 12 дней назад

    Hi, i am an information technology student in my second year. Is this a job i can do in the future?

  • @Practicaltheoretical
    @Practicaltheoretical 19 дней назад

    What is the difference between loc and groupby

  • @PaolaFreelancer
    @PaolaFreelancer Месяц назад

    Informacion muy util y relevante para mi que recien descubri el interés en Analisis de Datos con enfoque a la salud.

  • @Practicaltheoretical
    @Practicaltheoretical Месяц назад

    Sir how to see answer sheets in documents using python

  • @dr.r.suganthi2304
    @dr.r.suganthi2304 Месяц назад

    Can you suggest some challenges areas of agriculture.How can we overcome the problem of using data science?

    • @afterworkai
      @afterworkai Месяц назад

      A few challenges include inefficient resource usage, unpredictable weather patterns, and pest infestations. With data science, we can use weather forecasting models, satellite images, and IoT devices to monitor soil and crop help. Concerning pest detection, we can use image recognition models.

  • @Practicaltheoretical
    @Practicaltheoretical Месяц назад

    Oops and classes is very important where is the Playlist of it Sir ???

  • @fasbeenafasbeena9711
    @fasbeenafasbeena9711 2 месяца назад

    I'm BCA student,Iwant become master healt data science.please share a roadmap.and course provide platform.

    • @afterworkai
      @afterworkai Месяц назад

      To become a master in health data science you need to learn programming basics (Python, R), then later data cleaning, analysis, and visualization. You'll also need to understand how to work with relation databases using SQL. Lastly, have some focus i.e. on bioinformatics, epidemiology, predictive health analytics, etc.

  • @Numpkins
    @Numpkins 2 месяца назад

    Notebook lm.

  • @keldiggs232
    @keldiggs232 2 месяца назад

    This is ai stuff OMG🤦‍♂

  • @serdaragrbas4869
    @serdaragrbas4869 3 месяца назад

    These videos are great resources for practicing Pandas library and understanding concepts of data analysis in python. Thank you so much for this valuable information!

  • @LesyaS-v3e
    @LesyaS-v3e 3 месяца назад

    thank you so much!!! Great explanation!

  • @Practicaltheoretical
    @Practicaltheoretical 3 месяца назад

    Sir why you r not uploading videos now a days is everything fine Sir 🙂

    • @afterworkai
      @afterworkai 2 месяца назад

      I’ll be back. It’s been a busy month.

  • @djblaccs
    @djblaccs 4 месяца назад

    Can someone help me on the loc challenge please

    • @afterworkai
      @afterworkai 4 месяца назад

      What specific issue might you be facing with the challenge?

  • @Practicaltheoretical
    @Practicaltheoretical 4 месяца назад

    Sir in resume what should i put any project on like this that you have done or something lese plzz help 😊

    • @afterworkai
      @afterworkai 4 месяца назад

      Are you able to clarify your question further?

    • @Practicaltheoretical
      @Practicaltheoretical 4 месяца назад

      Sir My question is like what to I write in my project area about python. Because I have done EDA only but I have no make any projects bla bla example snake game using python

  • @Practicaltheoretical
    @Practicaltheoretical 4 месяца назад

    Sir, Sales data.dropna(subset=(storage), inplace why you have used subset you didn't exolain it in a video

    • @afterworkai
      @afterworkai 4 месяца назад

      Inplace applies the change in the code to the original dataframe.

    • @serdaragrbas4869
      @serdaragrbas4869 3 месяца назад

      Hey subset is used to check specific column, otherwise the code will check all columns with missing values instead of 'Storage' in this example. It basically says the program to look missing values specifically in 'Storage' column.

  • @SylviaNgugi-mz1gn
    @SylviaNgugi-mz1gn 4 месяца назад

    This is great 👏. Kindly could you be having the recording you did in partnership with ALX on Data Cleaning with either SQL or Power BI?

    • @afterworkai
      @afterworkai 4 месяца назад

      Hi Sylvia. Unfortunately we don’t have the recording.

  • @MD.REFAYETULLAH
    @MD.REFAYETULLAH 4 месяца назад

    You have done a great job!

  • @naveenrajguru2243
    @naveenrajguru2243 4 месяца назад

    Great work 👏

  • @wibonext
    @wibonext 4 месяца назад

    My instructor Valentine Assalaam Alaykum Thank you so much for this.

  • @Practicaltheoretical
    @Practicaltheoretical 4 месяца назад

    Plz continue this series and i am waiting for numpy

  • @catherinefalardeau
    @catherinefalardeau 5 месяцев назад

    Excellent video! Thank you.

  • @kevincaster2649
    @kevincaster2649 5 месяцев назад

    Sounds great. I will give it a try

  • @Practicaltheoretical
    @Practicaltheoretical 5 месяцев назад

    sir is there in detail video on list , tuple etc

  • @djblaccs
    @djblaccs 5 месяцев назад

    Hata pandas sijaelewa kuna ingine....??!!!🤣🤣🤣🤡💀

    • @leokim6270
      @leokim6270 5 месяцев назад

      😃😃😀😀😀. Syllabus changing quick fast

    • @afterworkai
      @afterworkai 5 месяцев назад

      😅😅Python has several libraries for large data processing; Polars, PySpark, DuckBD, Dask, Vaex, etc.

    • @leokim6270
      @leokim6270 5 месяцев назад

      @@afterworkai Consider doing one for pyspark

  • @Practicaltheoretical
    @Practicaltheoretical 5 месяцев назад

    Sir plz make projects on python

  • @pavankumarkodamasimham7438
    @pavankumarkodamasimham7438 5 месяцев назад

    Thank You🙌🙌

  • @nikhilar3173
    @nikhilar3173 5 месяцев назад

    Hello Brother, 👋🏻 ❤ From India 🤝 I want to appreciate your great work, keep going 👏🏻

    • @afterworkai
      @afterworkai 5 месяцев назад

      You're welcome! Thanks for the thought.

  • @MuhammadulloAlijonov
    @MuhammadulloAlijonov 5 месяцев назад

    Hi Valentine, I can't access to your notebook . can you share the link that works?

    • @afterworkai
      @afterworkai 5 месяцев назад

      Hello there. You can have a look this latest video on data wrangling instead. It provides a similar learning experience and provides a sample practice notebook: ruclips.net/video/EgK_6xFrLks/видео.html

  • @16_sanchitkhairnar49
    @16_sanchitkhairnar49 6 месяцев назад

    I am joining you when you have 2.68k subs and I want to get my masters in Data science and shift from Chemical Engineering to Data science in next 2 years I hope you reach Millions and millions of subs and I achieve my dream. you are an absolute GOAT. I don't know how to thank you for this channel ❤

    • @afterworkai
      @afterworkai 5 месяцев назад

      Thank you for the wishes and hoping you achieve your dreams too. This is encouraging.

  • @sathyahisto
    @sathyahisto 6 месяцев назад

    I like this video..if you could make it small video on challenge..it would be great

    • @afterworkai
      @afterworkai 6 месяцев назад

      Thanks. Do you mean making the video shorter or making less of challenge videos?

  • @Practicaltheoretical
    @Practicaltheoretical 6 месяцев назад

    And also which type of questions can be asked in interview ❤

    • @afterworkai
      @afterworkai 5 месяцев назад

      Thanks. Will look towards having such a video soon.

  • @Practicaltheoretical
    @Practicaltheoretical 6 месяцев назад

    Sir plz upload projects after this challenge series

    • @afterworkai
      @afterworkai 5 месяцев назад

      Thanks for the suggestion.

  • @BrunoSxD
    @BrunoSxD 6 месяцев назад

    Great tutorial :) Helped me a lot to get in to pyspark. Keep the great work man.

    • @afterworkai
      @afterworkai 6 месяцев назад

      Thank you, @BrunoSxD

  • @carolekiptim
    @carolekiptim 6 месяцев назад

    Learning and getting better😄,Thank You Other than accessing resources,are there any benefits of being an afterwork member?

    • @afterworkai
      @afterworkai 6 месяцев назад

      At the moment all the resources on our platform. What suggestions might you have that we could provide that could make your learning journey better?

  • @carolekiptim
    @carolekiptim 6 месяцев назад

    Thank you Valentine. 👏👏

  • @carolekiptim
    @carolekiptim 6 месяцев назад

    👏👏

  • @anthonynjuguna4047
    @anthonynjuguna4047 6 месяцев назад

    Hello Valentine Great tutorials By any chance do you run a bootcamp or offer any classes on data science?

    • @afterworkai
      @afterworkai 6 месяцев назад

      Hey Anthony. Yes we do have an upcoming bootcamp. Will be post the link here soon.

    • @anthonynjuguna4047
      @anthonynjuguna4047 6 месяцев назад

      @@afterworkai thanks

    • @afterworkai
      @afterworkai 5 месяцев назад

      Hi Anthony, We'll be running a 6-week online Data Analytics Bootcamp for working professionals covering key tools such as Excel, SQL, Python, R, and Power BI through evening workshops and practical projects. The bootcamp starts on 6th August. If interested, find more details and make your application here: bit.ly/afterworkdabootcamp, before August 2nd, 2024.

  • @carolekiptim
    @carolekiptim 6 месяцев назад

    Great work👏. Well explained and its engaging. A correction you can make on boolean indexing filtering as you used the wrong operator thus getting different result. A better example for string extracting filtering is to filter 'treatment' section based on strings that contain "medication" /"counseling" .

    • @afterworkai
      @afterworkai 6 месяцев назад

      Thank you, Carole. Well noted.

  • @Nehallotfy369
    @Nehallotfy369 6 месяцев назад

    Thank you!!

  • @carolekiptim
    @carolekiptim 6 месяцев назад

    Comprehensive, as a novice, this has pushed me to research and try to understand the new concepts I am learning

    • @afterworkai
      @afterworkai 6 месяцев назад

      You’re welcome Carole.

  • @ArhamZaiem
    @ArhamZaiem 6 месяцев назад

    you are doing very good work brother, i wish your channel will get many subscribers.

    • @afterworkai
      @afterworkai 6 месяцев назад

      Thank you. We'll get there soon.

  • @Taknia_telcomecoit
    @Taknia_telcomecoit 6 месяцев назад

    good work Pandas Library

  • @Practicaltheoretical
    @Practicaltheoretical 6 месяцев назад

    I want to follow you in Instagram, what is you I'd

  • @Practicaltheoretical
    @Practicaltheoretical 6 месяцев назад

    Sir I want to suggest something after completing 30 days challenge pandas video , also upload one project

    • @afterworkai
      @afterworkai 6 месяцев назад

      We will do this. Thanks for the suggestion.

  • @Maire3935
    @Maire3935 6 месяцев назад

    - Audit your skills - Pre-requisite skills - Learning process - Job application process

  • @miyelanimaluleke7944
    @miyelanimaluleke7944 6 месяцев назад

    Keep on producing the videos and we’ll keep watching ❤

    • @afterworkai
      @afterworkai 6 месяцев назад

      Glad to hear they are helpful.

  • @Practicaltheoretical
    @Practicaltheoretical 6 месяцев назад

    Greetings Sir, When will you start NUMPY ??

  • @mahwayapercival
    @mahwayapercival 6 месяцев назад

    Day 8 🎉 : I am behind then 😂. Will have to catch up with this tutorial.

    • @afterworkai
      @afterworkai 6 месяцев назад

      Yes. The challenge starts from day 1.

  • @djblaccs
    @djblaccs 6 месяцев назад

    Self-taught...?!!😅

  • @abrilgonzalez7892
    @abrilgonzalez7892 6 месяцев назад

    Hi thanks for the practice!! Can I do the same exercises in Jupiter Notebooks? Thanks

    • @afterworkai
      @afterworkai 6 месяцев назад

      Yes it’s possible. You can download them as ipynb files and open them locally.

    • @abrilgonzalez7892
      @abrilgonzalez7892 6 месяцев назад

      @@afterworkai Thanks!!!!