Python with Data Science Course with Certification and Placement

Transform Your Data Skills with Advanced Python With Data Science Course

Embark on a transformative journey combining Python programming with essential data science tools. Python With Data Science course covers core programming concepts and advanced data analysis techniques using libraries like NumPy, Pandas, and Matplotlib, empowering you to tackle data challenges effectively.

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  • Level

    All Levels

  • Duration

    8 Weeks

  • Certification

    MIT Certification

  • Industry Immersion

    Industry Immersion

  • Capstone Projects

    Capstone Projects

Overview

The Python with Data Science course bridges Python programming with data science, providing a thorough understanding of both fundamental programming skills and advanced data analysis techniques. You will learn to use Python for data manipulation, visualization, and web scraping, preparing you for data science and analytics roles.

  • Data Analyst
  • Data Scientist
  • Python Full Stack Developer
  • Quality Assurance Engineer
  • Software Engineer
  • Educator
  • Freelancer
Targeted Job

Targeted Job
Roles

Training and Methodology - Python with Data Science Course

Training and Methodology

By enrolling in this course, you will gain access to -

  • imgHands-On Coding - Practice coding with real-time exercises.
  • imgWeb Scraping - Learn to extract and analyze web data.
  • imgData Analysis Tools - Master tools for effective data manipulation and visualization.

Why Choose This
Course?

Elevate Your Data Science and Python Skills with Our Python with Data Science course which integrates Python programming with advanced data science techniques, providing a comprehensive learning experience. Gain practical skills and real-world knowledge to excel in data analysis and visualization.

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  • 100% Placement Assistance Program

    100% Placement Assistance Program

    This course guarantees job placement readiness.

  • Real time projects

    Real time projects

    Apply your skills to industry-relevant data challenges.

  • Continuous Feedback

    Continuous Feedback

    Receive regular feedback to enhance your learning journey.

Skills acquired from this course

  • Star Icon

    Advanced data manipulation with NumPy and Pandas

  • Star Icon

    Data visualization using Matplotlib and Seaborn

  • Star Icon

    Web scraping techniques with BeautifulSoup and Selenium

  • Star Icon

    Understanding and application of machine learning algorithms

  • Star Icon

    Proficiency in handling and analyzing large datasets

Tools & Languages Included In This course
Open AI - ChatGPT 3.5
Open AI
Chat GPT - AI Tool
LangChain and Chroma
AWS
NLTK
Pandas
LlamaIndex

The Course Syllabus

The course covers important topics.

Module 1: Overview
Module 2: Environment Setup
Module 3: Basic Syntax
Module 4: Variable Types and Basic Operators
Module 5: Strings
Module 6: Decision Making and Loops
Module 7: Data Structures
Module 8: Modules
Module 9: Files I/O
Module 10: Exceptions
Module 11: Classes and Objects
Module 12: Web Scraping
Module 13: Data Science Tools - Libraries
Module 14: Case Studies
Module 15: Course Project

Overview

  • History of Python
  • Python Features and Applications
Click for Next Module

Environment Setup

  • Local Environment Setup
  • Installing and Running Python
  • Standard Views
Click for Next Module

Basic Syntax

  • Python Identifiers, Keywords
  • Indentation, Comments
Click for Next Module

Variable Types and Basic Operators

  • Standard Data Types
  • Arithmetic, Comparison, Logical Operators
Click for Next Module

Strings

  • String Operations and Formatting
Click for Next Module

Decision Making and Loops

  • if, if-else, elif, break, continue Statements
  • While and For Loops
Click for Next Module

Data Structures

  • Lists
  • Tuples
  • Sets
  • Dictionaries
Click for Next Module

Modules

  • Importing and Creating Modules
Click for Next Module

Files I/O

  • File Operations and Methods
Click for Next Module

Exceptions

  • Exception Handling Techniques
Click for Next Module

Classes and Objects

  • OOP Concepts and Implementation
Click for Next Module

Web Scraping

  • BeautifulSoup and Selenium Basics
  • Extracting Data from Web Pages
Click for Next Module

Data Science Tools - Libraries

  • Data Cleaning and Visualization
  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
Click for Next Module

Case Studies

  • IPL Data Analysis
  • Netflix and Hotstar Data Analysis
Click for Next Module

Course Project

  • Real-Life Data Science Project
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Recruiters looking for Data Science Students
Larsen & Toubro
Emerson
NRB Bearings
Reliance
Sameer
Unilever
Mahindra

Certification For This
Course

Receive a recognized certification upon course completion, validating your skills and boosting your career prospects.

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MIT Certification - Python with Data Science Course
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