Tutors

Innomatics Research Labs

PROGRAM OVERVIEW

CURRICULUM

  Course Took Kit (Discord and Mentoring Link)

  • Discord Innomatics Server Community Link
  • Zoom Mentoring Sessions Link

  Python Programming

  • Jupyter Note and Basic Programming File
  • Ananconda Installation for Jupyter notebook IDE and Python
  • Python Programming File
  • 21st April Python Programming with Strings File
  • 22nd April Data Structure - List
  • 22nd April - Complete String File
  • 25th April Data Structure - List and Tuple
  • 26th April - Data Structure - Set & Dictionary
  • 27th April Conditional Statement Files
  • Anaconda Installation and Jupyter notebook
  • Basic Programming - Literals Variables Boolean and Strings
  • String and Basic commends
  • Data Structures - List Tuple and Set File
  • Conditional statement and Loops
  • 5th May Conditional Statement and While Loop topic Files
  • 6th May Conditional Statement and Loops File
  • 9th May Conditional Statement and Loops Files
  • 10th May Loops Problem Solving
  • 11th May Loops Problem Solving
  • 13th May Functions
  • 16th May Functions _Map Filter Reduce and List Comprehensions
  • 18th May Functions and Modules
  • 18th May File handling
  • 19th May Date and Time
  • 20th May OOPS File
  • 24th May OOPS File
  • Functions
  • File handling and Date Time

  Data Analysis - Python

  • 25th May Numpy - 1
  • 26th May Numpy - II
  • 27th May Numpy - III File
  • 30th May Pandas - Series and DataFrame Class File
  • 31st May Pandas - Slicing and basic operation
  • car dataset
  • 1st June Pandas More Operations and String operation
  • 2nd June Pandas - Date time
  • 2nd June Regular Expression File
  • Regular Expression
  • Regular Expression and Web Scraping - I Nakuri
  • 3rd June Regex Class File
  • Web Scraping - Naukari and klipkart
  • 7th June Regular Expression Complete File
  • 7th June Web Scraping Part 1 Class File
  • 8th June Web Scraping File
  • 9th June Matplotlib Visualization File
  • 10th June Matplotlib and Seaborn File
  • 13th June Visualization
  • 14th June Visualization Plots
  • 15th June EDA - Part 1
  • 16th June EDA - Part 2
  • 17th June EDA - III
  • 20th June EDA File
  • 21st June Exception Handling File
  • Numpy_I
  • Numpy_II
  • Pandas Dataframes
  • Pandas dataframes II
  • Matplotlib and seaborn
  • Matplotlib and seaborn II
  • Matplotlib and seaborn III
  • EDA - I
  • EDA-II

  Assignments

  • Variables and Datatypes
  • Strings
  • List and Tuples
  • Sets
  • Dictionary
  • Conditional Statements and Loops
  • Functions
  • Class Assignments
  • Python - Numpy
  • Data Analysis - Pandas
  • Data Analysis - Advanced Data VIsualization Assignment
  • Statistics - Descriptive Statistics & EDA Assignment
  • Statistics: - Hypothesis Testing Assignment
  • Tableau Assignment - 1
  • Tableau Assignment - 2
  • Tableau - Assignment - 3
  • Tableau: - Assignment - 4
  • SQL Assignment - I
  • SQL Assignment - II

  Projects

  • Web Scraping With EDA
  • Web Scraping Project Documentation
  • Sample PPT Template
  • Web Scraping Project Final Submissions
  • Portfolio
  • Telephone Directory Using Flask
  • CRUD Operations using Flask

  SQL

  • DDL Commands
  • Introduction to SQL and RDMS
  • DDL - II
  • DDL Commands Files
  • DML and DDL Commands Files
  • Class Task - 1
  • DML Commands
  • SQL Revision
  • 8th Aug aggregation function and group by
  • 9th Aug - string operations
  • Joins - II
  • 12th Aug
  • Window Function

  Tableau

  • Introduction to Tableau and Desktop Tableau Data Types
  • tableau_intro and data types PDF
  • Sorting Files Types Grouping Data Relationship Filters
  • Class 1 & 2 Files
  • Calculated Fields Tableau Calculation Logical Functions Shapes Font Shading functionalities
  • Number & String Functions Actions on Worksheets Dual axis Models and Forecasting
  • Reference Line & band Clustering Filters at Worksheet level Dash Board making and Story boards
  • July-11-15th Lab Files
  • Special chart and Creating COVID dashboard

  Statistics& Probability - II

  • Intro to Statistics and Data its Measures PDF
  • Descriptive Statistics Lab File
  • 24th June Probability Files
  • Probability + Random Variables + Probability Distributions PDF
  • 28th June Probability lab Files
  • Descriptive Statistics
  • Descriptive Statistics Code
  • Data Analysis and Intro to Probability I
  • Probability II - Conditional Marginal and Bayes Theorem
  • 29th June Probability Random Variables Files
  • Probability Random Variables
  • Binomial and Poisson Distribution
  • Confidence Interval
  • Normal Distribution and CLT
  • Normal_distribution
  • CLT and Confidence Interval
  • Hypothesis Testing - I
  • Adv Stats Lab File _Batch 147_151 File
  • Hypothesis Testing - 2 Part - I
  • Hypothesis Testing - 2 Part - II
  • Hypothesis Testing - III
  • Hypothesis Testing 1 2 & 3 Lab Files
  • Hypothesis Testing - IV
  • Hypothesis Testing incluidng anova and chi squared Files

  Machine Learning

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  Deep Learning

  • This section has no content published in it.

  Placement and Interview Preparation Sections

  • Presentation Skills for Project /Interviews
  • Python Interview Preparation Session
  • Data Analysis Interview Preparation Session
  • SQL Interview Preparation
  • Window Function

  Application Development - Flask

  • HTML
  • CSS
  • HTML and CSS Video
  • Bootstrap
  • Bootstrap and Introduction to Flask Video
  • Introduction to Flask
  • How to call variable, Creating loops and conditional Statements in HTML Video
  • Jinja Templating
  • Dynamic Ruting and Login Validation
  • Template Inheritance
  • Jinja Templating and Form Validations Video
  • Database connection Using Flask
  • Database connection with Flask Video

  Technical Assessment - MCQ's

  • Python Technical Assessment
  • Python Coding Questions