Python Training in Kolkata | Learn Data Science with Python

SKU: 10960
12 Lesson
|
40 Hours
igmGuru offers Python Training in Kolkata to help students and working professionals learn Python easily. This course is customized for beginners and advanced learners who want to start and upgrade their careers in Python and Data Science. You will learn Python basics like syntax, data types, loops, and functions. The course also covers popular libraries such as NumPy, Matplotlib, Pandas, and introduces machine learning using Scikit-learn.
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Data Science with Python Training in Kolkata

Python Course in Kolkata Overview

Our Python training in Kolkata helps you learn Python easily and step by step. You will start with basic Python and then learn how to use it for data analysis, making graphs, and building machine learning models. At igmGuru, this course also covers tools like NumPy, Pandas, Matplotlib, and Scikit-learn. You will get study materials, practice tasks, and real projects to help you apply what you learn. We also help with job support and interview tips so you can get ready for Python certified jobs.

Skills Covered in Python Course

  1. Learn Python programming basics
  2. Use NumPy and Pandas for data analysis
  3. Make charts with Matplotlib and Seaborn
  4. Build machine learning models
  5. Data Visualization in Python using Matplotlib
  6. Data Science with Python Web Scraping
  7. Work on real-time data science and python projects

Prerequisites for Python Certification Course

No prior programming experience is required. However, a basic understanding of mathematics or statistics can be helpful. This course is designed for both beginners and professionals aiming to upskill.

Jobs After This Course

After finishing this course, you can apply for jobs like:

  1. Data Analyst
  2. Python Developer
  3. Machine Learning Engineer
  4. Data Scientist
  5. Business Intelligence Analyst
  6. Research Analyst

Key Features

Python Training in Kolkata Modules

1. Data Science
2. Data Scientists
3. Examples of Data Science
4. Python for Data Science
1. Introduction to Data Visualization
2. Processes in Data Science
3. Data Wrangling, Data Exploration, and Model Selection
4. Exploratory Data Analysis or EDA
5. Data Visualization
6. Plotting
7. Hypothesis Building and Testing
1. Introduction to Statistics
2. Statistical and Non-Statistical Analysis
3. Some Common Terms Used in Statistics
4. Data Distribution: Central Tendency, Percentiles, Dispersion
5. Histogram, Bell Curve, Hypothesis Testing
6. Chi-Square Test, Correlation Matrix, Inferential Statistics
1. Introduction to Anaconda
2. Installation of Anaconda Python Distribution - For Windows, Mac OS, and Linux
3. Jupyter Notebook Installation, Jupyter Notebook Introduction
4. Variable Assignment
5. Basic Data Types: Integer, Float, String, None, and Boolean; Typecasting
6. Creating, accessing, and slicing tuples
7. Creating, accessing, and slicing lists
8. Creating, viewing, accessing, and modifying dicts
9. Creating and using operations on sets
10. Basic Operators: 'in', '+', '*', Functions, Control Flow
1. NumPy Overview
2. Properties, Purpose, and Types of ndarray
3. Class and Attributes of ndarray Object
4. Basic Operations: Concept and Examples
5. Accessing Array Elements: Indexing, Slicing, Iteration, Indexing with Boolean Arrays
6. Copy and Views, Universal Functions (ufunc)
7. Shape Manipulation, Broadcasting, Linear Algebra
1. SciPy and its Characteristics, SciPy sub-packages
2. SciPy sub-packages –Integration, SciPy sub-packages – Optimize
3. Linear Algebra
4. SciPy sub-packages – Statistics, SciPy sub-packages – Weave
5. SciPy sub-packages - I O
1. Introduction to Pandas
2. Data Structures, Series, DataFrame, Missing Values
3. Data Operations, Data Standardization
4. Pandas File Read and Write Support
5. SQL Operation
1. Introduction to Machine Learning
2. Machine Learning Approach
3. How Supervised and Unsupervised Learning Models Work
4. Scikit-Learn
5. Supervised Learning Models - Linear Regression, Logistic Regression
6. K Nearest Neighbors (K-NN) Model
7. Unsupervised Learning Models: Clustering, Dimensionality Reduction
8. Pipeline, Model Persistence, Model Evaluation - Metric Functions
1. NLP Overview
2. NLP Approach for Text Data
3. NLP Environment Setup
4. NLP Sentence analysis, NLP Applications
5. Major NLP Libraries, Scikit-Learn Approach
6. Scikit - Learn Approach Built - in Modules, Scikit - Learn Approach Feature Extraction
7. Bag of Words, Extraction Considerations
8. Scikit - Learn Approach Model Training
9. Scikit - Learn Grid Search and Multiple Parameters
10. Pipeline
1. Introduction to Data Visualization
2. Python Libraries, Plots
3. Matplotlib Features: Line Properties Plot with (x, y), Controlling Line Patterns and Colors, Set Axis, Labels, and Legend Properties, Alpha and Annotation, Multiple Plots, Subplots
4. Types of Plots and Seaborn
1. Web Scraping
2. Common Data/Page Formats on The Web
3. The Parser, Importance of Objects
4. Understanding the Tree, Searching the Tree
5. Navigating options, Modifying the Tree
6. Parsing Only Part of the Document
7. Printing and Formatting, Encoding
1. Need for Integrating Python with Hadoop
2. Big Data Hadoop Architecture
3. MapReduce, Cloudera QuickStart VM Set Up
4. Apache Spark
5. Resilient Distributed Systems (RDD)
6. PySpark, Spark Tools
7. PySpark Integration with Jupyter Notebook
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+91 7240740740 (India)
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Python Course Fees in Kolkata

Online Class Room Program

US $ 599.00
100% Money Back Guarantee
  • Duration : 40 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 01 Jun 2026
  • Weekday Batch 01 Jun 2026
  • Weekend Batch 06 Jun 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support
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Data Science with Python Certification Exam

Official certification exam name is Data Science with Python - Certified Associate (varies by provider)

Exam Format

  • Duration: 90 to 120 minutes
  • Number of Questions: 60–80
  • Passing Score: 65–70%
  • Type: Multiple-choice, multiple-response, and coding-based questions
  • Mode: Online (proctored) or in-person at certified centers

Exam Cost

  • Fee: $150 to $295 USD depending on certification provider

igmGuru provides a Course Completion Certificate for Data Science with Python Training. This certification validates your knowledge in Python for data analysis, visualization, and basic machine learning concepts. It also confirms your understanding of tools such as Pandas, NumPy, Matplotlib, and Scikit-learn used in data science projects. This certification can support roles such as Data Analyst, Junior Data Scientist, and Python Developer.

Data Science with Python Certification Exam

Python Online Training in Kolkata FAQ

Yes, igmGuru offers several other online certification courses. These include specialized online certification courses, tailored to different levels. igmGuru, greatly emphasizes upskilling and boosting career opportunities across any industry sectors, with each online certification course designed to help learners enhance their expertise.

Yes, igmGuru offers several other online courses under Business Intelligence. These include specialized online courses, tailored to different skill levels. igmGuru greatly emphasizes upskilling and boosting career opportunities across IT industry sectors, with each online course designed to help learners enhance their expertise in Business Intelligence. Below are few courses.

Yes, IgmGuru delivers Data Science with Python Corporate Training in Kolkata.
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+91-7240-740-740
(India)
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info@igmguru.com

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