Course Highlights

    • Batch Starts Aug 30th
    • 30 Days Session
    • 7:30 PM to 9 PM

    • 50 Hrs of LIVE Online Training
    • Access to Recorded Courses
    • Concepts Explained in Kannada
    • Completion Certificate

    • Build hands on real world projects
    • Doubt Clarification
    • Interview Preparation
    • Career Assistance

  • Who Should Attend

    • Working Professionals
    • Students & Freshers
    • Professors

  • Job Opportunities

    • Data Scientist
    • Data Analyst
    • Automation Engineer
    • ML Engineer

Course curriculum

  • 1

    Python Fundamentals

    • Overview of Python

    • Different Applications where Python is used

    • Values, Types, Variables

    • Operands and Expressions

    • Conditional Statements

    • Loops

    • Command Line Arguments

    • Creating “Hello World” code

    • Python files I/O Functions

    • Numbers

    • Strings and related operations

    • Tuples and related operations

    • Lists and related operations

    • Dictionaries and related operations

    • Sets and related operations
  • 2

    Advanced Python

    • Functions

    • Function Parameters

    • Global Variables

    • Variable Scope and Returning Values

    • Lambda Functions

    • Object-Oriented Concepts

    • Standard Libraries

    • Modules Used in Python

    • The Import Statements

    • Module Search Path

    • Package Installation Ways

    • Errors and Exception Handling

    • Handling Multiple Exceptions
  • 3

    Data Manipulation using DataScience Libraries

    • Basic Functionalities of a data object

    • Merging of Data objects

    • Concatenation of data objects

    • Types of Joins on data objects

    • Exploring a Dataset

    • Analyzing a dataset

    • NumPy - arrays

    • Operations on arrays

    • Indexing slicing and iterating

    • Reading and writing arrays on files

    • Pandas - data structures & index operations

    • Reading and Writing data from Excel/CSV formats into Pandas

    • matplotlib library

    • Grids, axes, plots

    • Markers, colours, fonts and styling

    • Types of plots - bar graphs, pie charts, histograms

    • Contour plots
  • 4

    Machine Learning for Data Science

    • What is Machine Learning?

    • Machine Learning Use-Cases

    • Machine Learning Process Flow

    • Machine Learning Categories

    • Linear regression

    • Gradient descent

    • What are Classification and its use cases?

    • What is a Decision Tree?

    • Algorithm for Decision Tree Induction

    • Creating a Perfect Decision Tree

    • Confusion Matrix

    • What is Random Forest?

    • Supervised Learning

    • Unsupervised Learning
  • 5

    Interview Preparation

    • Recent Interview Questions

    • Interview Tips

    • Github profile building

    • Resume building

    • LinkedIn profile building

    • Jupyter Notebook

    • Kaggle

Completion Certificate by MicroDegree

On completion of course become a proud alumni of MicroDegree. MicroDegree is chosen among top innovative startups by Government of Karnataka's flagship Elevate Call-2 program
Enrol Now

Learner Review

  • Akshata Kothari

    Thank you so much for this course. The concepts explained by the trainer was really good and clear. As it was in kannada it helped me in understanding the concept better.

  • karthik k

    You are giving examples for every concept which makes us learn faster. Excellent. Keep going

  • Chethana Amin

    It's really a good thought to start a course in kannada. It helps lot of people.

  • Divya G

    Explaining in Kannada is understanding in good manner

  • Deepashree N

    Awesome thing... u guys made python very very easy which can be learnt in our mother tongue.... thank you...

  • Monica Govindappa

    Learning in Kannada is helping out to grasp things quickly over all making it to learn in an interesting way.

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