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Master Data Science with AI, Machine Learning & Big Data

TechnoPaat offers an industry-focused Advanced Certificate in Data Science for professionals and students. Master core concepts across data science, AI, machine learning, deep learning, and big data analytics with a practical, project-driven curriculum.

Learn Python programming, data visualization, predictive modeling, and advanced analytics. Work with TensorFlow, Scikit-Learn, Power BI, Tableau, and SQL to build real-world projects that solve business problems and demonstrate job-ready skills in data science.

Master Data Science with AI, Machine Learning & Big Data

Data Science is a fast-growing, interdisciplinary career path. Data scientists gather, analyze, and interpret large, complex datasets to drive decisions, optimize processes, and build predictive systems.

Data science spans analytics, data mining, machine learning, and adjacent disciplines. While data scientists often forecast outcomes and build models, data analysts focus on transforming diverse data into clear, actionable insights for business decisions.

Modern workflows include data cleansing, preparation, exploratory analysis, feature engineering, modeling, validation, and communication. Data scientists combine information from multiple sources and apply techniques such as predictive modeling, machine learning, and sentiment analysis to generate business-ready insights.

Effective data scientists are proficient in descriptive statistics, experimentation, and clear reporting. They turn unstructured inputs into structured datasets, produce dashboards and narratives, and communicate evidence-based conclusions to stakeholders.

Core capabilities include statistics, SQL and databases, and data visualization. Strong skills in Python or R, plus tools like Tableau/Power BI, help practitioners design trustworthy datasets, create meaningful views, and recommend precise, high-impact actions. In practice, data analytics functions as the applied, business-facing layer within the broader data science ecosystem.

  • What is Data Science and Data Analytics?
  • Computer System and Computer Components
  • Binary Language and ASCII Code
  • Memory Units and Number Systems
  • Various Terminology about Data science
  • Computer - Operating System
  • Microsoft office

  • Excel Fundamentals
  • Advanced Excel Formulas & Functions
  • Excel For Data Analytics
  • Data Visualization with Excel
  • Excel Power Tools
  • Data Formatting
  • Excel Pivot Table & Pivot Chart
  • Data Operation with Advanced Excel
  • Excel New Feature

  • Managing Worksheets
  • Create MIS Reports in Excel
  • MIS Report Elements
  • Managing Dashboard
  • Presenting a data summary
  • Fundamental Data Analysis
  • Data Visualization with Analytics
  • Information Measure in Excel

  • 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

  • Power Bi Desktop & Power Bi Query Editor
  • Connecting & Monitoring Various Data Sources
  • Data Storage, And Then Transforming Data
  • Bi Tools for Aggregating, Analyzing, Visualizing & Sharing Data.
  • Creating Reports & Dashboards
  • Create Rich, Impact ful, Interactive Visualization
  • Centralize Your Data in A Trusted and Secure Hub
  • Deepen Data Insights with Ai-Driven Analytics
  • Publish & Share Reports with Power Bi Pro

  • Create Interactive Business Intelligence Dashboards
  • Connect, Visualize, and Share Data
  • Create & Distribute an Interactive & Shareable Dashboard
  • Transform raw data into interactive dashboards & visualizations
  • Well-designed graphics & properties
  • Real-time data analysis
  • Query translation into visualization
  • Data Blending & Data Collaboration

  • Notation for writing computer programs
  • Types of computer languages
  • Cutting-edge coding skills.
  • Ways of generating machine code,
  • Set of instructions to generate logics
  • machine-dependent (0s and 1s) programming language
  • compiler or interpreter to translate the program into machine language
  • Using a programming editor like IDE & VS etc.

  • Object-Oriented Languages Importance
  • Class, Objects & Library Files in C++
  • Constructor & Destructor Concepts
  • Inheritance Concepts
  • Polymorphism Concepts
  • Abstraction Concepts
  • Encapsulation Concepts
  • Data Binding & Integrations Concepts
  • Input-Output Operations
  • File Handling Concepts

  • 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.

  • 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 & Understand 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

  • Introduction of Graphical Representation of Information
  • Understand Visual Elements Like Charts, Graphs, And Maps,
  • Discuss Data visualization Tools in Python
  • Understand Trends, Outliers, and Patterns In Data.
  • Quickly Identify Patterns, Trends & Correlations Within Data.

  • Library For Creating Static, Animated & Interactive Visualizations
  • 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

  • Including Object Detection, Face Recognition, And Tracking
  • Computer vision, machine learning, and image processing
  • Process images and videos to identify objects, faces of a human.
  • GUI Features in OpenCV
  • Techniques to work with videos like object tracking & Camera Calibration
  • Object Detection (obj-detect module) techniques like face detection
  • OpenCV Python binding.

  • Fundamentals of Machine Learning Using Python’s Powerful Libraries
  • Describe the various types of Machine Learning algorithms and when to
  • use them
  • Understand and identify patterns, make predictions, and make decisions
  • based on data.
  • Explore advanced data science challenges through sample data sets
  • Examine machine learning results and recognize under-fitting or
  • over-fitting data.
Module 21. TENSORFLOW - LIBRARY FOR MACHINE LEARNING & ARTIFICIAL INTELLIGENCE
  • Multiple APIs (Application Programming Interfaces)
  • Create Deep Learning Models
  • Using Wrapper Libraries To Process TensorFlow Nodes
  • Named Abstract Computation Input & Output Attributes
  • Tasks Focus On Training And Inference Of Deep Neural Networks
  • Create Machine Learning Models For Desktop, Mobile, Web & Cloud
  • AI Model - Uses The Flatten, Dense, And Dropout Layers
  • Tensor Edges Graph Representing Multi-dimensional Data Arrays
  • Linear Regression With TensorFlow
Module 22. GITHUB - CLOUD-BASED SERVICES
  • Cloud-based service for software development and version control using Git
  • Allows developers to store and manage their code
  • Storing, tracking, and collaborating on open-source projects
Module 23. INDUSTRY STANDARD PROJECTS
  • 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
Module 24. SKILLS TO MASTER FOR INTERVIEW PREPARATIONS
  • Share the job description
  • Practice mock interviews
  • Analyze your performance
  • Organize your documents - digital copy of CV, update your social media profile, showcase student's accomplishments
  • Preparation & Tips for a phone interview & video interview
  • Interview rounds Preparations: HR Interview, Technical Interview, Managerial Interview

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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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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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At TechnoPaat, we specialize in a wide array of courses across domains like:

Programming Languages: Java, Python, C++, .NET, and more. Data Science & Analytics: Machine Learning, AI, Big Data. Cloud Computing & DevOps: AWS, Azure, Docker, Kubernetes. Cybersecurity: Ethical Hacking, Network Security. Digital Marketing: SEO, Social Media, Content Marketing. Database Management: SQL, PL/SQL, MongoDB, Oracle.

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