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Data Science with Python – Master Data Analysis, Machine Learning & Visualisation

Advance your career with TechnoPaat’s Data Science with Python Training. Learn end to end skills in data analysis, machine learning, and data visualization using Python. Start with the essentials and progress to advanced techniques in data manipulation, statistical analysis, and predictive modeling using libraries like Pandas, NumPy, Matplotlib, and Scikit-Learn. Build job-ready projects and prepare for roles such as Data Scientist, Data Analyst, and Machine Learning Engineer. Earn a Data Science certification that highlights proven, practical skills.

Data Science with Python – Master Data Analysis, Machine Learning & Visualisation
  • Python Basics: Learn core concepts for data science, including data types, loops, functions, and modules.
  • Data Manipulation: Use Pandas and NumPy to clean, transform, join, and analyze datasets.
  • Data Visualization: Build clear charts and exploratory visuals with Matplotlib and Seaborn.
  • Machine Learning: Implement supervised and unsupervised models in Scikit-Learn (regression, classification, clustering).
  • Real Projects: Apply skills to predictive modeling, exploratory analysis, and insight-driven dashboards.
  • Certification: Earn a Data Science certificate to validate practical capability.
Why Choose TechnoPaat?
  • Trainers with real experience in data science and machine learning.
  • Hands-on learning with projects and case studies.
  • Flexible formats: online and classroom options.
  • Placement assistance for roles like Data Scientist, Data Analyst, and ML Engineer.
  • Ongoing access to materials and learner support.
Who Should Enroll?
  • Aspiring data scientists and analysts.
  • IT professionals upskilling in data science and machine learning.
  • Graduates pursuing data analysis and predictive modeling roles.
  • Learners aiming to master visualization and ML with Python.
Transform Your Career

Join TechnoPaat’s Data Science with Python Training to analyze, visualize, and model data with confidence—and step into high-demand, data-driven roles.

TechnoPaat Data Science with Python Course, you will have a strong foundation in data science principles, techniques, and tools using the Python programming language. You'll be equipped with the skills to analyze data, create visualizations, and build predictive models. Whether you're pursuing a career in data science or aiming to leverage data-driven insights in your field, this course will empower you to unlock the power of Python and make informed decisions based on data.

  • Python Fundamentals
  • Python Data Types & Resources
  • Library Reference for Python's Many Standard Libraries
  • Language Reference for Python's Syntax.
  • Set Python Virtual Environment Setup
  • Input Output Operations
  • Functions & Modules in Python
  • Exceptions Handling

  • Advanced Oops Concepts in Python with Various Data types
  • Working with Set, List, Dict. , Tuple Data, Interfaces in Python
  • Packages & Library with Pip
  • Python Database Connectivity Configurations
  • Data Management & Manipulations (Storage, Fetch, Retrieve, Maintain)
  • Implementation Of All Concept In Project Preparations

  • Powerful Graphical User Interface Toolkit for Python
  • Drag-and-Drop GUI builder, with built-in hosting for Our Apps.
  • Tk GUI toolkit shipped with python
  • Specific Geometry Management methods
  • Apply event triggers to the widgets
  • Create Admin. & User Panel to Respond to user interactions.
  • PDBC - Python Database Connection Configuration with SQL.

  • MySQL Functions
  • MySQL - Import and Export data
  • Organizes Data Structure into Data Tables Services
  • Manage & Manipulate Database
  • Database operations -create/manage/ access & search
  • Updates, join, clause
  • Retrieve Data information.

  • Introduction to SQL SERVER
  • Storing and Retrieving Databases
  • Sql Optimization and CRUD operations
  • Data Import and Export from different sources
  • SQL Operators, Join, Clause
  • Deep Dive into SQL Functions
  • Working with Subqueries, Views and Stored Procedure

  • Linear Algebra Concepts.
  • Matrix Operations Like Addition, Subtraction, Multiplication & Inversion
  • Linear Models To Solve Real-world Problems
  • Linear Regression to predict prices based on historical data.
  • Linear Algebra For Data Science & How To Implement It With Python.

  • NumPy - Numerical Python Techniques
  • Single & Multi-Dimensional Arrays in NumPy
  • NumPy Vectorization, Matrices, Indexing, and Slicing Concepts
  • NumPy Mathematical, Arithmetic, Statistics Functions
  • Random number generators in NumPy
  • Linear Algebra & array computing
  • Computing diff. Attributes of NumPy arrays.

  • Use open source data analysis and manipulation tools
  • Cleaning and Plotting data
  • Working with data sets with Easy handling of missing data
  • Flexible Merging, Joining, Reshaping and Pivoting of data sets
  • Functions for analyzing, cleaning, exploring, and manipulating data.
  • Powerful data structures for data analysis
  • Time Series and Delta Attributes
  • Slicing, Indexing & Sub- Setting of large data sets
  • Time series-specific functionality
  • Date Range Generation
  • Frequency conversion
  • Pandas Data Frame

  • Understand Trends, And Patterns, And To Make Correlations.
  • Create Plot By Connecting The Points Defined By X & Y Values.
  • Create Publication Quality Plots.
  • Matplotlib Utilities Under The “pyplot” Submodule
  • Interactive Format Environments Across Platforms
  • Customize Visual Style And Layout.
  • Creating static, animated, and interactive visualizations.
  • Generate A Wide Range Of Plots, Including Line Plots, Scatter Plots, Bar Plots, Histograms, Pie Charts, And More.

  • Functions For Optimization, Stats And Signal Processing.
  • Algorithms For Optimization, Integration, Interpolation Queries
  • Algebraic Equations, Differential Equations, Statistics
  • Extends Numpy Providing Additional Tools
  • Array Computing And Provides Specialized Data Structures
  • Numerical Integration
  • Image Manipulation & Optimization
  • Signal Processing & Fast Transforms

  • Cloud-based service for software development and version control using Git, allowing developers to store and manage their code
  • Storing, tracking, and collaborating on open-source projects

  • Projects Include:
  • Data Scrubbing/Cleaning
  • Exploratory Data Analysis
  • Interactive Data Visualization
  • Cluster the Information in A Given Dataset
  • Data Models To Wave Artificial Intelligence And Machine Learning.

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Discover Your Language Learning Goals

Discover Your Language Learning Goals

Whether you’re learning for travel, work, or personal/ professional growth, we’ll help you identify your objectives and match you with the perfect language course to meet your goals.

Choose the Right language Course for You

Choose the Right language Course for You

From beginner basics to advanced fluency, we offer customized programs designed to suit your learning pace and style. Explore group classes, private lessons, or online options.

Learn with Experts and Advanced Tools

Learn with Experts and Advanced Tools

Experience interactive lessons led by certified instructors using cutting-edge techniques and technology. Our immersive approach ensures rapid progress and lasting confidence.

Practice, Progress, and Achieve Fluency

Practice, Progress, and Achieve Fluency

Engage in real-world practice, track your progress with regular assessments, and celebrate milestones as you master your chosen language. Success is within reach!

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