- Topics Covered : Part 1 : Getting Started with Python Part 2 : Python Programming Basics Part 3 : Tuples,List and Dictionaries Part 4 : Control Structures in Python Part 5 :Functions in Python Part 6: Decorators in Python Part 7: Strings in python Part 8 : Object Oriented Programming in Python Part 9 : Exception Handling in Python Part 10 : Graphical User Interface in Python Part 11 : Numpy and Pandas Part 12 : Database Programming in Python Part 13: Introduction to Django Part 14 : Data Visualization in Python part 15 : Regular Expressions and Lambda Functions. The Course Includes 4 Project designs. All Lectures by Junaid Khateeb only (No Assistants)
- For R : 1) Introducing to R 2) R Data Structures 3) Help functions in R 4) Vectors 5 ) Scalars 6) Declarations 7) recycling 8) Common Vector operations – Using all and any – Vectorized operations 9) NA and NULL values – Filtering 10) Vectorised if-then else 11) Vector Equality 12) Vector Element names 13) Creating matrices 14) Matrix operations – Applying Functions to Matrix Rows and Columns 15) Adding and deleting rows and columns – Vector/Matrix Distinction 16) Avoiding Dimension Reduction 17) Higher Dimensional arrays – lists 18) Creating lists – General list operations 19) Accessing list components and values 20) applying functions to lists 21) Creating Data Frames – Matrix-like operations in frames 22) Merging Data Frames – Applying functions to Data frames 23) Factors and Tables – factors and levels – Common functions used with factors 24) Working with tables - Other factors and table related functions 25) Control statements – Arithmetic and Boolean operators and values 26) Default values for arguments - Returning Boolean values 27) functions are objects – Environment and Scope issues 28) Writing Upstairs - Recursion – Replacement functions 29) Tools for composing function code – Math and Simulations in R 30) S3 Classes – S4 Classes 31) Managing your objects – Input/Output – accessing keyboard and monitor 32) reading and writing files – accessing the internet 33) String Manipulation 34) Graphics – Creating Graphs – Customizing Graphs – Saving graphs to files 35) Creating three-dimensional plots 36) Linear models – Non-linear models – Time Series and Auto-correlation – Clustering
Topics Covered :
Part 1 : Getting Started with Python
Part 2 : Python Programming Basics
Part 3 : Tuples,List and Dictionaries
Part 4 : Control Structures in Python
Part 5 :Functions in Python
Part 6: Decorators in Python
Part 7: Strings in python
Part 8 : Object Oriented Programming in Python
Part 9 : Exception Handling in Python
Part 10 : Graphical User Interface in Python
Part 11 : Numpy and Pandas
Part 12 : Database Programming in Python
Part 13: Introduction to Django
Part 14 : Data Visualization in Python
part 15 : Regular Expressions and Lambda Functions.
The Course Includes 4 Project designs and 2 case studies
All Lectures by Junaid Khateeb only (No Assistants)
- 6 Reviews
- 227 Students
- 146 Courses
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