Tutors

Innomatics Research Labs

PROGRAM OVERVIEW

CURRICULUM

  Welcome to Course

  • Discord Community - Innomatics Link
  • Zoom Mentoring session Links

  Python Programming

  • Orientation Session - 1
  • Orientation - 2
  • Jupter notebook and Basic Python Files
  • Anaconda Installation Processor PDF
  • Python Basics
  • Arthemetic_comparision_Operators
  • String_Indexing
  • Data types and Operators Files
  • Lists
  • List Files
  • tuple and Set File
  • Sets_and_Tuples
  • Dictionaries
  • Conditional Statements
  • Conditional_Statements_2
  • Conditional Statement File
  • Conditional_statements3
  • Loops Class File
  • While_loops
  • while loop file
  • for loop file
  • Loops_for_else_while
  • Nested loops and Pattern practice
  • Python material
  • Functions
  • Functions material
  • Functions_part2
  • Map_Filter_and_Lambda_function
  • Functions_Reduce_filter_Lambda_Material
  • OOPS Concepts
  • Classes and Objects
  • Python_Revision
  • Python_revision
  • File and Exception Handling
  • List Comprehensions
  • File handling and List comprehensions

  Assignments

  • Strings Assignment
  • List and Tuple
  • Sets and dictionary assignment
  • Python - Conditional Statement and Loops
  • Python - Functions and Methods
  • Data Analysis - Numpy Assignment
  • Data Analysis - Pandas Assignment
  • SQL Assignment - I
  • SQL Assignment - II
  • Stats - EDA Assignment
  • Hypothesis Testing Assignment

  Projects

  • Python - Web Scraping with EDA Project
  • Innomatics PPT Template
  • Resume Portfolio
  • Telephone Directory - CRUD Operation
  • ML - Regression Concrete Strength Prediction
  • ML Classification - Churn Analysis (Data Preparation and Model Building)

  Data Analysis - Python

  • Numpy
  • Numpy2
  • Numpy and Pandas_material
  • Pandas
  • Pandas2
  • Pandas2
  • Pandas and Matplotlib Material
  • Pandas3_matplotlib
  • Seaborn
  • DataAnalysis
  • Regular Expressions
  • Descriptive Statistics and Seaborn material
  • webscraping
  • webscraping_2
  • Webscraping_3
  • Regex_webscraping

  Statistics

  • Descriptive Statistics
  • Descriptive Stats Class Notes
  • Descriptive Stats Lab
  • Descriptive Stats Lab and Probability
  • Conditional Probability
  • Bayes Theorem
  • Bayes Theorem problems
  • Probability File
  • Probability _ III
  • Probability and Distributions Files and Class file
  • Random Variable
  • Distributions
  • Random Variables Class File
  • Distributions - Binomial and Normal Distributions
  • Discrete Probability Distributions
  • Normal Distribution
  • Central Limit Theorem
  • Confidence Interval
  • Hypothesis Testing - 1
  • Hypothesis Testing - II
  • Normal Distributions
  • Normal Distribution , CLT, Confidence Interval and Hypothesis Testing
  • CLT Class File and Lab
  • Hypothesis Testing - I
  • Hypothesis Testing Continue
  • Hypothesis Testing Lab File
  • Hypothesis Testing Labs
  • Chi Square
  • Chi Square Files

  SQL

  • MySql Installation Processor
  • MySql Installation Processor Doc File
  • SQL introduction
  • DDL_Commands
  • SQL_material
  • SQL_lab1
  • SQL_DAY3_MATERIAL
  • SQL_DAY4_material
  • SQL_DAY4
  • SQL_DAY6
  • SQL_Day7
  • MySQL_Python_connections
  • SQL Revision class - I
  • SQL Revision Class - II

  Tableau

  • Introduction to the Tableau and Data Types
  • Day 2 - Various Filters and Data Manipulations
  • Day 3 - Advance filters, parameters, mark tab, calculated field, dual axis
  • Day 1 , Day 2 and Day 3 Class Files
  • Day 4 - Analytics in Tableau
  • Day 5 - Tooltips, Dual Asix, Geo Plots, Actions on worksheet Pages
  • Day 6 - Dashboard ( Formatting, navigation ) Story Board and Publishing of Tableau Workbook
  • Day 7: Advance Charts, LIVE PROJECT and Assignment Explanation
  • Tableau All Classes Complete Lab File
  • Tableau Dashboard Assignment

  Machine Learning

  • Intro to ML - 1
  • Intro to ML - 2
  • Data Pre Processing Files
  • Simple Linear Regression Files
  • Simple Linear Regression
  • Data Pre Processing
  • Math Behind
  • Linear Regression and Gradient Descent
  • Linear Regression - III

  Deep Learning

  • This section has no content published in it.

  Flask Web application development

  • Introduction
  • HTML
  • HTML and CSS
  • Jinja Templating
  • Login and Form Data

  Revision - Data Analysis and Stats

  • Data Analysis - I
  • Data Analysis - I
  • Data Analysis - II
  • Lab file - II

  Interview and Placement Activities

  • Mastering LinkedIn Session for Effective Job Search
  • Python Interview Preparation Session
  • SQL Interview Preparation Session
  • Resume Building Session

  Python Programming - Assignment Tasks

  • Task - 1 (Basic Python Programming)
  • Task - 2 (Data Types)
  • Task - 3 (Python Maths)
  • Task - 4 (Basic Python - Strings)
  • Task - 5 (RegEx)

  Placement Assessment Section

  • Python, Data Analysis and Statistics Quiz - Interview Preparation SET - A - 31st Oct
  • Machine Learning Interview Preparation Test_Online 3rd Nov
  • Deep Learning Interview Preparation Test - 4th Nov