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

  • Ananconda Installation for Jupyter notebook IDE and Python
  • 1.Introduction_to_Python
  • 2_Strings
  • 3_Lists_and_Tuples
  • 4.Sets
  • 5.Dictionaries
  • 6. If-elif-else conditional statements
  • 7. For and While Loops
  • 8. Functions
  • 9. File Handling
  • 10. Exception Handling
  • Object Oriented Programming
  • Anaconda Installation Google Colab and Jupyter notebook
  • Basic Programming
  • Basic Programming - II
  • Strings - I
  • String - II
  • List and Tuple
  • List and Tuple - II
  • Dictionary and Conditional Statement -I
  • Conditional Statement -II
  • Conditional Statement and Loops - III
  • Functions - I
  • Functions - II
  • Modules and Problem Solving - Part 1
  • Problem Solving - II
  • File Handling
  • Exceptional Handling and OOPS
  • OOPs - II
  • OOPs - III

  Data Analysis Using Python

  • Descriptive Statistics - I
  • Numpy
  • Pandas-I
  • Descriptive Statistics - I
  • Descriptive Statistics - II and Numpy
  • datasets
  • Pandas - II File
  • Grouping_and_Summarising File
  • Numpy - II
  • Pandas - Series and DataFrame and Basic Operations
  • Indexing and Merge concatenation & Joins
  • Basic Cleaning and Filtering
  • Missing Data Handling
  • Grouping_and_Summarising and Lambda_Functions_Pivot_Tables
  • Reg ex File
  • Web Scraping File
  • Plotting_with_Seaborn File
  • Viusalization
  • Matplolib File

  Assignments

  • Variables and Datatypes
  • Strings
  • List and Tuples
  • Sets
  • Dictionary
  • Conditional Statements and Loops
  • Functions
  • Python - Class and Object
  • Data Analysis - Numpy
  • Data Analysis - Pandas
  • Data Analysis - Visualization
  • Statistics Assignment Final Submissions

  Projects

  • PPT Template for Web Scraping Project
  • Web Scraping Project Final Submissions

  SQL

  • This section has no content published in it.

  Tableau

  • This section has no content published in it.

  Statistics

  • Introduction to Statistics
  • Statistics Code file
  • Descriptive Stats Class
  • Descriptive Stats PDF
  • Descriptive Statistics Material
  • Probability File
  • Normal Distribution
  • Probability Distributions
  • Probability - 1
  • probability - II
  • probability - III
  • Probability Distributions
  • Central Limit Theorem
  • Normal Distribution and CLT
  • Normal Distribution
  • Distributions PDF, Normal Distribution and CLT
  • Hypothesis Testing
  • Hypothesis Testing - II
  • Normal Distribution and CLT
  • Confidence Interval (Limits)
  • Sampling Techniques
  • Hypothesis Testing - I
  • Hypothesis Testing - II
  • Hypothesis Testing Lab File

  Machine Learning

  • This section has no content published in it.

  Deep Learning

  • This section has no content published in it.

  Application Development - Flask

  • Introduction to Flask
  • HTML - I
  • HTML - 1 Video
  • HTML and CSS
  • HTML and CSS Video
  • Bootstrap
  • Bootstrap Video
  • Introduction to Flask
  • Introduction to Flask Video
  • Introduction to Flask - II
  • Introduction to Flask - II Video
  • Calling python variable inside HTML
  • Calling python variable inside HTML Video
  • Jinja Templating
  • Jinja Templating Video
  • Login Validation Video
  • Login Validation Files
  • Template Inheritance
  • Template Inheritance Video
  • Database Connection Using Flask Files
  • Database Connection Using Flask Video