Introduction to Python, Comments, Statements, Variables, Identifiers, Input/Output Formatting, ​DataTypes and Type Conversions, Conditional Statements, Looping, Jumping Statements.​

Functions, Types of functions, Argument passing to functions, Scope of variables, Recursive functions, Lambda functions.

Collections – Lists, Tuples, Strings, Sets and Dictionaries; Indexing, Slicing, Inbuilt functions and methods, comprehensions.​

 Classes, Objects, Constructors, Inheritance, Encapsulation, Polymorphism, Abstract Classes, Exception Handling.

Introduction to Data Structures, Complexity Analysis, Linear Data Structures.​

NonLinear Data Structures – Trees and Graphs, Searching and Sorting Algorithms.​

Dynamic Programming, BackTracking and Greedy Algorithms.

Introduction to SQL, SQL Commands and Queries, Joins, Normalization, Subqueries, Views, Transactions.

Numpy – Introduction to Numpy, Creating and Accessing arrays, Basic and Mathematical array Operations, Array Slicing​

Pandas – Introduction to Pandas, Data Structures and Data frames, Working with imported data.

Introduction to Matplotlib, Facts and Dimensions, Bar graph, Scatter plot, Line graph, Box plots, Subplots.

Business and data understanding, data preparation, Modelling, Evaluation and Deployment. 

Introduction to Metabase and User Interface​

Querying Data – SQL Editor, SQL Snippet, SQL Template​

Dashboard -Visualization, building Dashboards, Interactive Dashboards

Git and Github, Linkedin, Kaggle, Leetcode/Hackerrank, Techgig​

Tactics to crack Technical Interview​

Glance on happening Emerging Technologies – AI, ML, DS, IoT, Blockchain, Web etc​