Python is the first Step to be Data Scientist/Analyst.

• Mega Python 10 Hr. Training

Benifits of Mega Python Training

• • It will be your first step to be the Data Scientist/Data Analyst.
• • 75% Projects are now running on Python Language in Corporate.
• • MNC's interviewer wants this skill as mandatory in your Resume.
• • Corporate Level Knowledge with Latest Trends and Latest Libraries used in Python.
• • Get Upto 16 LPA - 20 LPA Package as a fresher with Good Coding Skills.

Training Objective

• First Step : Introduction to Python Language.
• Second Step : Coding Challenge with combine use of all Concepts.
• Third Step : OOP’s Concept in Python with Data Hiding.
• Last Step : Uses of different Libraries like PySpark and Pandas Library for Data Cleansing and Data Visualization that will help you to learn (Data Science or Big Data)

Prerequisites

No Prerequisites Required for this Training. (Everything starts from Basic to Advanced)

Syllabus of the Course

1. Introduction to Python

1. • Introduction to Python Language
2. • Why it becomes soPopular ?
3. • Importance of Python
4. • Use Case of Python

2. Basic Python Concepts

1. • Basic Data Typesin Python
2. • Some Mathematical Operationsin Python
3. • Operators in Python
4. • First Program in Python
5. • String functions in Python
6. • Accepting Input from the user
7. • List Operationsin Python
8. • List Functionsin Python
9. • Range Functionsin Python
10. • Coding Challenge

3. Control Structure in Python

1. • If Statementin Python
2. • ElIfStatementin Python
3. • Forloopin Python
4. • WhileLoopin Python
5. • Code Reuse and Functionsin Python
6. • Coding Challenge

4. Functions & Modules in Python

1. • Passing Arguments to functions in Python
2. • Creating Function return value in Python
3. • Recursive Function
4. • Use Case of Functions
5. • Modules in Python
6. • Exception Handling in Python
7. • Coding Challenge

5. Most Used Data Types in Python

1. • Dictionaries
2. • Dictionary Functions
3. • Tuples
4. • List Slicing
5. • List Comprehension
6. • String Formatting
7. • String Functions
8. • Numeric Functions

6 Functional Programming in Python

1. • FunctionalProgramming
2. • Lambdas in Python
4. • Map in Python
6. • Filters in Python
8. • Generators in Python

7 Object Oriented Programming in Python

1. • Introduction to Object Oriented Programming
3. • Classes and Objects
5. • Class Methods
7. • Creating a class &Defining class attributes
9. • Instance Attributes and Constructors
11. • Implementing Methods in OOP’s
13. • Function Based Vs OOP Way of Writing Code
15. • Inheritance
17. • Multiple Inheritance
19. • Multi – Level Inheritance
21. • Sets
23. • Operator Overloading in Python
25. • Data Hiding in Python

8 Libraries in Python

1. • Numpy
3. • SciPy
5. • SciKit Learn
7. • OpenCV Python
9. • Pandas