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Methods & Functions

Learn the basics of using methods and functions in Python. This module will teach you how to create reusable blocks of code that perform specific tasks, helping to make your coding process more efficient and organized.

Python For Data Analytics-Numpy

NumPy, a powerful library in Python designed for scientific computing. You’ll learn how to use NumPy for handling large data sets with arrays, performing complex mathematical operations, and analyzing data effectively.

Python For Data Analytics-Pandas

Explore Pandas, another essential library for data analysis in Python. This part of the course covers how to manipulate and analyze data using DataFrames and Series in Pandas, making it easier to organize and process large volumes of data.

Data Visualization With Matplotlib

Learn about data visualization using Matplotlib, a plotting library in Python. This module will show you how to create a variety of graphs and charts, which are essential for presenting and understanding data clearly.

Machine Learning With Scikit-Learn

Explore the basics of machine learning using the Scikit-learn library, a versatile tool for predictive data analysis in Python. This module covers foundational machine learning techniques such as regression, classification, clustering, and model evaluation, providing practical skills to implement predictive models from data.

Time Series Analysis

Learn how to analyze time series data, which is essential for trends and forecasting in various industries like finance, economics, and weather forecasting. This module introduces methods to handle, process, and predict future values based on historical time series data using Python’s powerful tools and libraries.

Top Placements


Data-Driven Future

Data science is at the heart of advancements in artificial intelligence, machine learning, and big data analytics, shaping the future of technology. machine learning, and big data analytics, shaping the future of technology.

High Demand

Data science is one of the fastest-growing fields, with a projected job growth rate significantly higher than the average for all occupations. This growth is driven by the increasing reliance on data across various industries for decision-making and strategic planning.

Lucrative Career Path

Due to the high demand and the specialized skill set required, data science professionals often command high salaries. Senior roles, such as Chief Data Officers, can command even higher salaries,

Impactful Work

Data scientists have the unique opportunity to make significant impacts within their organizations and on global challenges. From automating processes and driving efficiencies to tackling climate change and supporting medical research,

High Opportunities

With every sector generating data, the need for data science expertise spans across industries. This diversity offers professionals the flexibility to work in areas that match their interests and passions, whether that's in tech, finance, healthcare, sectors.

Foundation for Innovation

Data science sits at the heart of innovation, especially in emerging technologies like machine learning and artificial intelligence (AI). Data scientists play a crucial role in developing algorithms


  • 100% job opportunity
  • 4+ Hackathons
  • 300+ Hours self-paced learning
  • Dedicated Student Success Mentor
  • Weekly doubt clearing sessions
  • Weekly doubt clearing sessions
  • Weekly doubt clearing sessions
  • Weekly doubt clearing sessions
  • Instructors from top companies
  • Flexibility to join new batch
  • Support all days 9 AM - 9 PM
  • Designed for Working Professionals
  • 400+ Hours of Live Sessions
  • Multiple hands-on sessions
  • Multiple hands-on sessions
  • Multiple hands-on sessions
  • 360 degree Placement
  • No Cost EMI Options available
  • 4+ Practical Hands-on Project
  • Career coaching available
  • Career coaching available
  • 12 Employability tests
  • 12 Employability tests
  • 12 Employability tests


  • Gathering data from various sources
  • Cleaning and formatting data
  • Regression Analysis
  • Data Cleaning and Preparation
  • ETL Processes
  • Business Intelligence Fundamentals
  • Cloud Computing Basics for Data Analysis
  • Pandas, NumPy for Python, and Tidyverse for R
  • Creating compelling visualizations
  • Introduction to machine learning techniques
  • Analyzing business data to support decision-making
  • ETL processes, and dashboard creation
  • Principal Component Analysis (PCA)
  • Natural Language Processing (NLP)
  • Data Visualization with Tools like Tableau and Power BI
  • Python and R for data manipulation and analysis
  • Statistical Concepts
  • Machine Learning Basics
  • SQL for Data Querying
  • Creating Dashboards and Reports
  • Big Data Technologies
  • Employing SQL for data querying
  • tools like Tableau, Power BI, and Excel
  • Building predictive models for analysis
  • Learning about data modeling,
  • ETL processes, and dashboard creation
  • Time Series Analysis
  • Natural Language Processing (NLP)
  • Business Intelligence Fundamentals
  • Advanced SQL Techniques




I had a fantastic experience learning Python at TGC Institute. The instructors were knowledgeable and supportive, and the course curriculum was well-structured. Thanks to TGC, I was able to transition into a Python developer role successfully. I highly recommend TGC to anyone looking to learn Python
Rajesh Kumar
I highly recommend TGC Institute for Python training. The hands-on approach to learning, coupled with real-world projects, helped me gain practical skills that I could apply immediately in my job. The instructors were patient and dedicated, making the learning process enjoyable.
Priya Singh
Enrolling in the Python course at TGC was one of the best decisions I've made for my career. The course content was comprehensive, covering everything from basics to advanced concepts. The support provided by the TGC team throughout the course was exceptional.
Rohit Sharma


What career opportunities are available for Python programmers?

Python programmers are in high demand across various industries, including software development, data science, machine learning, web development, cybersecurity, and more.

Who is this Python training course for?

This course is suitable for beginners with no prior programming experience as well as professionals looking to enhance their skills in Python programming.

What will I learn in this Python training course?

You will learn the fundamentals of Python programming, including data types, variables, control flow, functions, and object-oriented programming

What tools and resources will I need for this course?

You will need access to a computer with an internet connection. We will provide all necessary software and resources for the course, including instructions for installation and setup.

Is there any certification offered upon completion of the course?

Yes, upon successful completion of the course and passing the final assessment, you will receive a certificate of completion to showcase your proficiency in Python programming.

What support is available during the course?

You will have access to our online learning platform, where you can interact with instructors and fellow students, ask questions, and receive feedback on your progress.

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