Workshops :

1. Master The Python Interview 1-Day workshop Know More | 2.One Day Workshop - Python Project (Learn how to approach programming) Know More | 3. The Extraordinary Python Coder - Workshop Know More | 4. Artificial Intelligence for Everyone Know More | 5. Data Analytics for Solving Business Problems Know More | 6. Machine Learning for Predictive Analytics Know More

Data Science using Python Training


New Batches Starts For Data Science using Python Training From November

New Batches Starts For Data Science using Python Training From November

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Data Science using Python

The Data Science with Python course teaches you to master the concepts of Python programming. Through this Python for Data Science training, you will learn Data Analysis, Machine Learning, Data Visualization, Web Scraping, & NLP. Upon course completion, you will master the essential Data Science tools using Python

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Weeks Duration
Hr/Week Therory
Hr/Week Lab
Students Per Batch

Introduction to Data Science

The Machine Learning

  • Supervised, Unsupervised & Reinforcement Learning
  • Types of Data
    1. Numeric, Text, List, & Dictionary
  • The pandas
    1. DataFrame and Series
    2. CSV Files
    3. Excel Spreadsheets
    4. JSON
  • Model
  • Model Hyperparameters
  • The scikit-learn API

How do we use modules and packages

Names and namespaces Scopes


The Method of Least Squares

  • Estimating the Regression Coefficients (β₀, β₁, β₂ and β₃)
  • Logarithmic Transformations of
  • Variables
    Correlation Matrices
  • The Correlation Coefficient
  • The Statsmodels formula API
  • Analyzing the Model Summary
  • The Model Formula Language
  • Intercept Handling
  • Regression Analysis Checks and Balances
  • The F-test
  • The T-test

Binary Classification

  • Business Discovery
  • Testing Business Hypotheses Using Exploratory Data Analysis
  • Visualization for Exploratory Data Analysis
  • Intuitions from the Exploratory Analysis

Business-Driven Feature Engineering

A Quick Peek at Data Types and a Descriptive Summary

  • Skewness of Data
  • Histograms
  • Density Plots
  • Other Feature Engineering Methods
  • Summarizing Feature Engineering
  • Building a Binary Classification Model Using the Logistic Regression Function
  • Logistic Regression Demystified
  • Metrics for Evaluating Model Performance
  • Confusion Matrix
  • Accuracy
  • Classification Report
  • Data Preprocessing


N. Arnav

Ideal place for anyone willing to learn Data Science and Data Analytics. The teacher is very passionate about conveying the subject knowledge in a very understandable way for anyone. Covers basics to advanced concepts. Highly recommend Invictus !! "

M. Arun

The classes are interactive and the trainer has complete knowledge of the subject. The trainer had given us hands-on which helped us in clarifying the concepts. A detailed description of all the concepts related to deep learning was given like activation function, convolutional layer, Maxpooling layer, etc. were given.

R. Veer

All relevant topics were taught and understood well. Proper hands-on were given with encouragement of high level of participation. Teachings helped me in clearing all the related assessments

K. Pranav

Excellent teaching, The way of explanation is too good and easy to understand. The way the trainer teaches the theory along with practical sessions has helped me a lot in learning and understanding Data Science. The whole teaching is done practically. It's really helpful.

D. Aaradhya

Sessions were very informative and interactive. I got to learn about the in-depth working of the algorithms. I got to do a lot of Hands-on projects with the trainer's help.