Course Syllabus

1. Introduction to Programming using Python (Week 1 to 6)

2. Data Mining (Week 7 to 8)

3. Introduction to Data Science (Week 9 to 12)

4. Python for Industries (Week 13 to 14)

Course Schedule

• Week #1:
  • Flow Chart
  • Syntextual Python
  • Logical Operation (if-else concept)
  • Problem Solving
  • Slides [ Big Data using Python-1, Big Data using Python-2 ]
• Week #2:
  • Iteration (looping concept)
  • Problem Solving
  • Assignment Solution (Previous Week) [ link_1, link_2 ]
  • Slides [ Big Data using Python-3 ]
• Week #3 and #4:
  • Python Data Structures: Array (List), String, Tuple, Set, Dictionay, Stack, Queue
  • Problem Solving
  • Slides [ Python String, Big Data using Python-4 ]
• Week #5:
  • Function
  • Object-Oriented Programming
  • Problem Solving
  • Slides [ How does function work?, OOP Python, OOP Python by Dr. Greene ]
• Week #6:
  • Time Complexity Analysis
  • Develop a game (Tic-Tac-Toe, Grid, etc.)
  • Problem Solving
  • Codes [ link ]
  • Slides [ Time Complexity Analysis-1, Time Complexity Analysis-2, Time Complexity Analysis-3 ]
• Week #7:
  • Write an efficient programme in Python [ link_1, link_2, link_3, link_4, link_5 ]
  • File Handling [ Rafsanjani’s Note: link_1, link_2, link_3, link_4, link_5, link_6 ]
  • Problem Solving
  • Slides [ Writing Faster Code by S. Witowski, Python Idioms by S. Hammad ]
• Week #8:
  • Introduction to Competitive Programming
  • Problem Solving
  • Slides [ Introduction Competitive Programming ]
• Week #9 and #10:
  • Introduction to Data Mining
  • Web Scraping & Web Crawling
  • Problem Solving
  • Codes [ link_1, IMDb_1, IMDb_2 ]
  • Videos [ link_1 ]
  • Blogs / Slides [ A Practical Guide to Web Scraping, Beautiful Soup, Web Scraping in Python (scrapy) ]
• Week #11:
  • Introduction to Data Science
  • NumPy, pandas, SciPy
  • Problem Solving
  • Slides / Blogs [ numpy Online, pandas Online-1, pandas Online-2, pandas Data Analysis Video-1, pandas Data Analysis Video-2 ]
• Week #12:
  • Visualization Data with matplotlib
  • Problem Solving
  • Blogs [ GeeksForGeeks ]
  • Slides [ Visualization with matplotlib ]
• Week #13:
  • Financial Technology (FINTECH) with Python
  • Excel Manipulation with Python
  • Problem Solving
  • Books [ Python for Finance ]
  • Blogs / Slides [ Google SpreadSheet with Python-1, Google SpreadSheet with Python-2 ]
• Week #14:
  • Some Successful Project employing Python
  • Problem Solving
  • Blogs [ link_1 ]
  • Slides [ Successful Python Project ]

Learning Resources

Text Books:

• Automate the Boring Stuff with Python [ link ]
• Machine Learning with Python [ link ]

Videos:

• Learn Python (Full Course for Beginners) [ link ]
• Class Lectures [ link ]

Blogs:

• GeeksForGeeks [ link ]
• Learn Python [ link ]

Essential Software

Interpreter:

• Python basic [ link ]
• Anaconda [ link ]

IDE:

• PyCharm [ link ]
• Online IDE [ GeeksForGeeks ]
• Online IDE [ Visualized Python ]

To know about the instructor: by clicking here!