What will i learn?
Curriculum for this course
39 Lessons
00:00:00 Hours
Introduction with Python
3 Lessons
00:00:00 Hours
- Installation 00:00:00
- Prints and Strings 00:00:00
- Math 00:00:00
Variables, Loops, and Statements
6 Lessons
00:00:00 Hours
- Variables 00:00:00
- While Loops 00:00:00
- For Loops 00:00:00
- If Statements 00:00:00
- If Else Statements 00:00:00
- if Elif Else Statement 00:00:00
Functions
2 Lessons
00:00:00 Hours
- Functions 00:00:00
- Function Parameters 00:00:00
Global and Local Variables
1 Lessons
00:00:00 Hours
- Global and Local Variables 00:00:00
Understanding Error Detection
1 Lessons
00:00:00 Hours
- Common Python Errors 00:00:00
Files and Classes
4 Lessons
00:00:00 Hours
- Writing to a file 00:00:00
- Appending to a file 00:00:00
- Reading from a File 00:00:00
- Classes 00:00:00
Intermediate Python
5 Lessons
00:00:00 Hours
- Input and Statistics 00:00:00
- Import syntax 00:00:00
- Making Modules 00:00:00
- Error Handling - Try and Except 00:00:00
- List Vs Tuples and List Manipulation 00:00:00
Project
1 Lessons
00:00:00 Hours
- Character Input
DataScience Fundamentals
16 Lessons
00:00:00 Hours
- Introduction to Anaconda 00:00:00
- Introduction to Jupyter/Ipython 00:00:00
- Working with Jupyter/Ipython 00:00:00
- Introduction to Numpy 00:00:00
- Working with Numpy arrays 00:00:00
- Introduction to Pandas 00:00:00
- Data Manipulation with Pandas 00:00:00
- Data Visualisation with Matplotlib 00:00:00
- Python and Scikit-Learn 00:00:00
- Supervised Learning with Scikit-Learn 00:00:00
- Geospatial Analysis using ArcGIS 00:00:00
- Text analytics with NLTK 00:00:00
- Social network analysis using Networkx 00:00:00
- The BeautifulSoup Parser for Python 00:00:00
- Working with Pyspark for big data 00:00:00
- Exercise_Working with Pandas 00:00:00
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