Data Analysis with Python for Excel Users - Full Course
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- Опубликовано: 4 май 2024
- Learn how to use Python and Pandas for data analysis. This course will be especially helpful if you have experience with Excel, but that is not required. Learn how to create pivot tables, work with data, and make visualizations using Python, Pandas, and Jupyter Notebook.
💻 Source Code & Datasets: github.com/ifrankandrade/pyth...
🔗 Datasets: drive.google.com/drive/folder...
✏️ Course developed by Frank Andrade.
🔗 RUclips Channel: / frankandrade5
🔗 PDF Python Cheat Sheet for this Course: artificialcorner.com/p/redeem...
🔗 My Complete Python Courses for Data Analysis & Data Science: www.udemy.com/user/frank-andr...
⭐️ Course Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:01:48) Install Python and Jupyter Notebook with Anaconda
⌨️ (0:03:53) Jupyter Notebook Interface
⌨️ (0:13:56) Cell Types and Cell Mode
⌨️ (0:21:34) Jupyter Notebook Shortcuts
⌨️ (0:26:39) Module 1 - Hello World
⌨️ (0:30:30) Data Type
⌨️ (0:39:10) Variables
⌨️ (0:46:53) Lists
⌨️ (1:11:14) Dictionaries
⌨️ (1:21:50) IF Statement
⌨️ (1:28:04) FOR Loop
⌨️ (1:33:49) Functions
⌨️ (1:40:59) Modules
⌨️ (1:44:41) Module 2 -Introduction to Pandas
⌨️ (1:51:08) How to create a dataframe
⌨️ (2:07:34) How to show a dataframe
⌨️ (2:14:24) Basic Attributes, Functions and Methods
⌨️ (2:26:17) Selecting One Column from a Dataframe
⌨️ (2:32:13) Selecting Two or More Columns from a Dataframe
⌨️ (2:37:50) Add New Column to a Dataframe (Simple Assignment)
⌨️ (2:47:51) Operations in dataframes
⌨️ (2:56:04) The value_counts() method
⌨️ (3:00:16) Sort a DataFrame with the sort_values() method
⌨️ (3:09:56) Module 3: Introduction to Pivot Tables in Pandas
⌨️ (3:14:42) The pivot() method
⌨️ (3:20:49) The pivot_table() method
⌨️ (3:29:00) Data Visualization with Pandas (New Dataset + Pivot Table)
⌨️ (3:38:38) Lineplot
⌨️ (3:43:05) Barplot
⌨️ (3:50:52) Piechart
⌨️ (3:54:36) Save Plot and Export Pivot Table
🎉 Thanks to our Champion and Sponsor supporters:
👾 Raymond Odero
👾 Agustín Kussrow
👾 aldo ferretti
👾 Otis Morgan
👾 DeezMaster
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That is one gorgeous cheat sheet. Thanks for everything you're doing for the global developer community, Frank. This course is gold.
Can you please share the link for the cheat sheet?
@@levarish it's in the video description
BEST PYTHON COURSE i EVER SEEN. i LITERALLY ENJOYED AND SPEND MY WEEKEND CONSUMING THESE CONTENT WITH PLEASURE. THANK YOU FOR YOUR MASSIVE SUPPORT FRANK
I am a decent Excel user who has been so reluctant to learn any programming language. Your video changed my mind and after few hours of watching this video, I feel I can learn the basics of python in a short period of time. Your teaching style is amazing and your ability to explain things is fascinating. Thank you so much.
That's the best content I've seen on jupyter and pandas so far! well done champ! I've spent my whole weekend going along on this course and I totally love it! Very well structured and full of examples you can run and you can test out on your own. had a minor set back on opening the csv file dgp but added the encoding parameter: df_gdp = pd.read_csv("gdp.csv" , encoding="latin-1")
Thanks :)
Frank went all out with this course. perfect beginner course. hope we all make you proud
Thanks for this tutorial! It would have also been nice to show how to concatenate or merge multiples data frames (inner, left, right join).
Don't know where you watching this from my brother but I wished you all the best in life ❤️❤️
A very good begginer's course; it covers the basics of Python with Juipter Notebook IDE in a simple and understable way.
Hi Frank! Many thanks for creating this wonderful course. You have taken humungous efforts for creating such a long and flawless content for everyone to learn. Highly commendable efforts!!
Amazing content Frank.. How effortlessly you explained everything in the most simplistic way.. Thank you
I just finished this python course and I have to say it was so fascinating to learn about this language. Frank did a great job at breaking everything down !!
Just finished this video. It is my first introduction to python and you did an excellent job. I appreciate this thanks
Best Tutorial on Python for Data Analytics I have seen so far... Your approach is commendable. Well done! I need to see more of your contents. This is good stuff!
I have just finished this. Love it. So easy to follow and Frank was amazing. best video so far.
Great course! Thank you so much! Spent a half day finishing the course. Very Helpful!
Extraordinary content, crystal clear explanation. Pure gold. We should be able to like the video a couple of times. Thanks a ton for such an wonderful content.
Frank Andrade, thank you for the best, and most helpful tutorial of
this type and this subject that I have ever seen.
Best INSTRUCTOR with the best English accent that we can easily understand and you never miss any step for running Python, even though I'm a beginner but now I know How to use python because of this video 😍, some tutorial they skip some step and even we try to follow their instructions but we got lost 😊😊😊Thank you Instructor ❤
Fantastically explained, thank you so much. Clear, easy to understand and shows some good examples.
GENSHIN PREACH
Very clear and concise instructions! Thank you very much!
as a junior data analyst i found this video very useful keep going my friend!!!
I still didn't finish the full course but I already find it very useful and well explained. Thank you Frank!
have you finished it by now?
@@boknows8263 Not yet
@@gorkemoncul6565 he will never finish it, he is watching TV now lol
Nicely explained and step by step coverage of "whole" topic. ....Thank you Sir.
The course is really good but has a few caveats:
1. The Dataframe CSV for the short .pivot() method demonstration is not included.
2. The file gdp.csv is in Windows-1252 encoding in the zip file. This cannot be imported into a Dataframe without prior recoding into UTF-8.
3. The .pivot_table() example throws a FutureWarning. I had to list all features in values=['Quantity', 'Rating',...] to make it working. The problem comes from the attempt to sum non-numerical values. So only include columns with numerical values in values=[ ].
Great course, broken down like ABC. Thanks Frank
one of the best if not the best tutorial this channel has ever presented. Excellent job!
Enjoyed every last second of it. Great job!
Thanks for the amazing tutorial Frank!
For people getting the unicode error:
df_gdp = pd.read_csv('gdp.csv', encoding='latin-1')
Thanks man!!
Brilliant tutorial! You are a very gifted presenter.
Amazing content Frank.. How effortlessly you explained everything in the most simplistic way
No words can express how great your work is, thank you so much
Thank you 🙏 you have explained so well. Amazing video. Learned a lot!
I already know Frank for writing exceptional technical articles! Good to see you here too 😁😁
Nice meeting you on RUclips too! :)
This Channel deserves 100M Subscribers Hats Off You Guys👏👏👏
Thank you for share this! I recommend this video for everyone wants to learn some basics of python, numpy and pandas is awesome.
This was a refresher course for me but notwithstanding, I learnt a whole lot.. Well done
You are an excellent teacher but your RUclips channel has very little content. Can you upload more videos?
@@nriezedichisom1676 Sure! More videos coming soon on my channel
very clear and simple explanations , thank you!
Watched it during Chrismas Holiday. Enjoyed it and learned something new. Thank you!
From Kenya much Appreciated - Asante Sana-
I love this content it's well structured with lots of examples to make you understand and master it without any problem. 🇿🇲
Did you happen to run into issues making a line graph? I used the provided code in the tutorial but keep getting errors I need matplotlib.
Definitely the best Python course for a data analyst who wants to level up from sql and excel only!!! Would recommend it!
Sir currently I am working in excel only..will this course help me in getting job? I mean is it sufficient to land a job as data analyst? Pls guide🙏
@@focus1007 for an entry level actually a combination of sql+excel only is fine, but as you level up you'll eventually need Python/R. I was like that too at first.
@@rafimaulana8294 thankyou so much fr replying🙏...sir so acc to you ,can i start applying for data analyst with the knowledge of excel and SQL only? Or should i learn anything else also?
@@focus1007 Yes, but try learning any data viz either google data studio/tableau/power BI. This would make an extra bonus point and quite easy to learn.
@@rafimaulana8294 thankyou so much sir for replying..means a lot to me🙏
Very nice course, you are truly blessed
The presentation is engaging and makes it easy to follow the instructions.
Thanks for basic and effective course and plus English sound is perfect 👍
Excellent...
thanks you mr Frank Andrade
Excellent, very well explained. Very nice use of Jupyter notebooks. Many thanks for uploading.
This is a very good course for me, help me a lot. Thank you very much.
Thank you for taking the time to create this course and sharing your knowledge with others.
Just some constructive criticism here, based on my experience using Excel for many years.
In my opinion people looking to move to pandas from Excel are serious users of this package. I didn't find content here that will make me think I really need to move away from Excel to gain this capability.
Also Excel's PowerQuery has a lot of powerful transformation capabilities.
Instead of doing the visualizations, people may have benefitted more from examples covering merge, groupby, stack, unstack, melt, resampling and even how list comprehensions can be used to add columns based on conditions.
My thoughts as well
Great and simple to mind tutorial
Amazing deep learning. Thankyou
Great introduction for everyday use!
Estou muito feliz por ter me inscrito e ter acesso a este conteúdo.
Thank You Very Much, Much Much More❤️, Love From Indonesia
God bless you for this project, I learned a lot from it.
Good learning here! The data should however be available for download to easily practice.
Thank you very much, this was very informative and explained in detail!
Thank you so much. This is what I was looking for!
good job Frank .. really it's very interesting
highly recommended
THANKS FRANK, YOU MADE ME UNDERSTAND PANDAS
Thank you so much. This is a great course.
Great Course! Thanks
Like the way you have explained the concepts - thanks Frank. Not sure if I missed out, but I could not find anything related to tuples between the timestamp 0:39:10 to 1:21:50. Is it explained later?
Thank you very much Frank ❤
Love it. Thanks a lot, Frank! 🎉
In the section on reading a csv file to create a Dataframe, the syntax used by you, i.e
df_exams = pd.read_csv('file_name.csv')
doesn't execute as the file local directory is gonna be whole different as when tried in different PC local systems.
Instead we can try using
df_exams = pd.read_csv(r"file_name.csv")
This syntax works perfectly.
You're right, i also used the second option.
i tried both the medthod, its not working
Do we need to include the path of that csv file?
@@vignesh28kk I copied the path of the file
could someone advise where to download "StudentsPerformance.csv" file used in the course
Perfect
Thanks شكرا
Conditional formatting is probably the most powerful feature of Excel. Would be tough to replicate these features (say highlighting duplicate values) in Python. Or no?
Wonderful tuto. Very well explained !
Extremely nice.... thank you.
Great tutorial, was really explanatory, and really easy to catch up-
Thank you so much, looking for more data analyst course!! Im a noob helped so much👍
Thank you Frank, this is so useful
Frank that was excellent work.
Amazing course big thanks!
Great video Frank!! regards from Peru
With the new Excel Python integration can everything in this course be done directly in Excel now?
Thx for the efforts
But frankly , excel is much faster and everything you did can be done more efficiently in excel.
Great ❤️
Thank you Frank !!
It good for beginners, if you add all sql operation like groupby , merge, fill and etc
In pandas right
Yeah pandas
@@rockymani94 the object oriented technique in matplotlib is still confusing me ...
@@dynamictechnocrat let me share you the right tutorials for that
@@rockymani94 thanks dear
💯Exceptionally awesome video clip
I was going to watch another video. But Frank’s voice was nicer to listen to 😂
Nice.
If possible can u make video for Influxdb 2.0 with python 👍
3:23:26 df_sales.pivot_table(index="Gender",aggfunc="sum")
TypeError: datetime64 type does not support sum operations
What to do ?
The only thing, that works for me!
df_sales.groupby("Gender").sum(numeric_only=True)
Great corse Frank! Thank you for sharing. I'm just about to the end and I'm getting error loading the gdp.csv? 'UnicodeDecodeError' Any advice on this? Thanks in advance...
UPDATE: saved csv as excel and was able to parse the file.....
Thank you for your guidance 😃
thanks you it's a very good course
Love it. Thank you so much!
I love your content! Can you do a tutorial for using Redux arhitecture in Fluttter or can you tell me some resources to learn this arhitecture?
I have watched this course which is excellent. i need intermediate to advanced pandas for excel users. please share me video
Excellent course! Help me to come through. :)
Best python tutorial at least for me
Very helpful thank you 🙏
Great video
thanks for posting
Very good tutorial .Thank you
Really Nice and Really Beautiful "Data Analysis with Python for Excel Users " . Stay Connected!😍😍😍🤗🤗🤗
Great job sir
Thanks needed
Thanks so much Frank! I'm just diving into the course and so far it's been amazing! I just tried to get the Cheat Sheet sent to me but I received an error: "Account is cancelled and can not accept new subscribers." Is there another way I can receive the Cheat Sheet? Much appreciated in advance.
execellent tutorial for a beginner