4.48 (338 reviews)
☑ Learn Intermediate Python Programming Skills
☑ Using the Jupyter Notebook Environment
☑ Using the NumPy Library To Create & Manipulate Arrays
☑ Using The Pandas Module To Create & Structure Data
☑ Create Data Visualizations Using Matplotlib & Seaborn Modules With Python
☑ Learn To Work With Various Data Formats Within Python, Including: JSON,HTML, & MS Excel Worksheets.
There are lots of Python courses and lectures out there. However, Python has a very steep learning curve and students often get overwhelmed. This course is different! This course is truly step-by-step. In every new tutorial, we build on what had already learned and move one extra step forward. After every video, you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.
This comprehensive course will be your guide to learning how to use the power of Python to analyze data and create beautiful visualizations. This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!
"Data Scientist" has been ranked the Number #1 Job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!
In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will still be successful in this course! I can't wait to see you in class.
In This Course You'll Learn:
Programming with Python
NumPy with Python
Using pandas Data Frames to solve complex tasks
Use pandas to handle Excel Files
Use matplotlib and seaborn for data visualizations
What Will You Learn?
Setting Up Your PC
Launching Jupyter Notebook
Navigating Jupyter NoteBook
NumPy - Data Analysis
Introduction To NumPy
Generating NumPy Arrays
Generating Arrays With Random Values
Reshape, Min and Max
Shape and Dtype
Index Broadcasting I
Index Broadcasting II
Pandas - Data Analysis
Pandas Series I
Pandas Series II
Dataframes - Adding & Dropping columns
Loc and iLoc
Reset Index & Set Index
dropna & fillna
Join, Merge & Concatenate
MatPlotLib - Data Visualization
Introduction To Matplotlib
Plotting A Simple Graph
Multiple Plots Inside Same Canvas
Object Oriented Plots
Subplots Using OOP
Modifying Figure Size & DPI
Saving The Plot
Creating A Legend
Seaborn - Data Visualization
Introduction To Seaborn
Distribution Plots - Part 1
Distribution Plots - Part 2
Categorical Plots - Part 1
Categorical Plots - Part 2
Size & Color
it's good some part of the lectures, just some codes were unclear. that's it apart from that it was a clear explanation, the way you teach is good. thanks
It's really great content! Thanks so much Abhishek! i really like that you explained everything very clearly and keep everything short and crisp. good speed as well:)
I was really impressed by his teaching. He taught very clearly and also i got lot of information from the session!!!
The best explanation. I loved the way you made everything easy to use and thanks for building basics for Data Science. Highly recommended to all who are stepping into Data Science Field. Thanks ❤
Yes.!!!!! very clear explanation. Thanks to Abhishek, small suggestion add a project using all that you have taught. it will be a help how to use python, pandas, numpy, matplotlib, seaborn.
if u r new in data science and with python ..this course is for u..belive me the way ...everything is explained is too good... the only thing i felt missing was some exercises should be there..
Clear explanation of the usage of each library. Quick but understandable exercises. Very good to boot in Data analysis