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Master Data Science with AI, Machine Learning & Big Data

Insta InfoTech® presents an industry-focused Advanced Certificate in Data Science designed for professionals and students. This course covers core Data Science concepts, AI, Machine Learning, Deep Learning, and Big Data Analytics.

Learn Python programming, data visualization, predictive modeling, and advanced analytics techniques. Master tools like TensorFlow, Scikit-Learn, Power BI, Tableau, and SQL. Develop real-world projects, solve business problems, and enhance your career in Data Science.

Advanced Certificate in Data Science
Data Science — Roles, Skills, and Business Impact

Data science is one of the most transformative fields of the 21st century. It blends statistics, programming, and domain expertise to turn raw data into actionable insights—guiding strategy, optimizing operations, and unlocking growth opportunities. Data scientists don’t just analyze information; they shape decisions that drive measurable business outcomes.

What Data Science Encompasses

Data science spans data analytics, data mining, machine learning, and experimentation. Analysts explain what happened and why; data scientists go further—building predictive and prescriptive models to anticipate what will happen and recommend the best course of action.

The Data Science Workflow
  • Acquire: Collect data from files, databases, APIs, and real-time streams.
  • Prepare: Clean, transform, and structure data to ensure quality and consistency.
  • Explore: Surface trends, anomalies, and correlations through statistical and visual analysis.
  • Model: Develop and validate machine learning models for forecasting, classification, and recommendations.
  • Communicate: Deliver insights through dashboards, visualizations, and clear narratives aligned with business goals.
Core Responsibilities
  • Data preparation: Integrate multiple sources, resolve missing values, and normalize structures.
  • Exploratory analysis: Identify patterns, relationships, and key drivers of business metrics.
  • Modeling & ML: Apply regression, classification, clustering, time-series, and NLP techniques.
  • Experimentation: Design and run A/B tests, measure impact, and refine based on results.
  • Communication: Translate technical findings into clear business strategies and recommendations.
Essential Skills for Data Scientists
  • Statistics & math: Probability, linear algebra, hypothesis testing, and optimization.
  • Programming: Proficiency in Python or R; working knowledge of production pipelines.
  • Data systems: SQL expertise, data modeling, warehousing, and distributed processing.
  • Machine learning: Supervised/unsupervised learning, validation, and performance monitoring.
  • Visualization & storytelling: Build intuitive dashboards and craft business-focused narratives.
  • Domain knowledge: Connect models and metrics to revenue, cost, risk, and customer outcomes.
Data Scientist vs. Data Analyst
  • Data Analyst: Prepares data, builds dashboards, and supports operational decision-making.
  • Data Scientist: Develops predictive models, experiments, and scalable analytics for strategic impact.
Business Value

When done right, data science reduces uncertainty, improves forecasts, personalizes customer experiences, and speeds up decision-making. It elevates organizations from descriptive reporting to predictive and prescriptive insight—turning data into a long-term competitive advantage.

  • 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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Trust & Validation

UGC-Recognized Skilled Qualifications for the Modern Global Workforce

University Certification
University Certification

Earn industry-relevant Certificates and Diplomas awarded by Medhavi Skills University, a UGC-recognized University. Insta Infotech is Approved Training Partner of Medhavi Skills University, ensuring quality education and credible certification.

Certificate Verification
Certificate Verification

All Certificates and Diplomas are digitally verifiable through Government of India platforms, including Skill India Digital Hub (MSDE), ABC.gov.in (Ministry of Education), and DigiLocker, ensuring authenticity and nationwide recognition.

Credit-Based Course (NCrF)
Credit-Based Course (NCrF)

Our courses are aligned with the National Credit Framework (NCrF) under the National Education Policy (NEP) 2020. Learners earn academic credits that strengthen their skill-based education profile and can be seamlessly transferred toward higher education pathways.

Global Recognition
Global Recognition

NCrF-aligned skill credits are recognized across the UK, EU, and Australian education systems. Through MSU’s global partnerships, learners benefit from dual certification opportunities and accelerated pathways to international degree programs.

Skill India Mission
Skill India Mission

Insta Infotech empowers learners with future-ready skills. Backed by the Skill India Mission and our academic partnership with Medhavi Skills University, we bridge the gap between education and employment through practical, hands-on learning and nationally recognized certifications.

Placement Support
Placement Support

Quality Skill Education — this is not merely a certificate of attendance, but a verified academic credential that enhances credibility and opens opportunities across MNCs, embassies, and government sectors.

Specializations

Skilled, Qualification, Certification

Course Credibility

Course Credibility

Our programs are certified by a recognized university, ensuring legal authenticity, academic validity, and strong professional acceptance. This means your qualification carries real value for employment, career advancement, and higher education.

Employability

Employability

Our programs combine practical training, real-world projects, and industry-relevant skills to prepare students for immediate employment. we ensure learners confidently transition from education to professional careers.

Global Standards

Global Standards

Our programs follow internationally aligned curricula and current industry requirements, ensuring learners gain globally relevant knowledge, practical competencies, and professional practices. This prepares students to adapt, compete, and work confidently.

National Alignment (Skill India)

National Alignment (Skill India)

Aligned with the Skill India Mission, we transform vocational training into a nationally recognized qualification, enabling our students to become part of India’s formal skilled workforce.

Academic Mobility (Credit-Based)

Academic Mobility (Credit-Based)

Through the National Credit Framework (NCrF), our courses are not merely extra-curricular; they are credit-earning modules that contribute directly toward your formal higher education pathway.

NEP 2020 Integration

NEP 2020 Integration

Aligned with the National Education Policy 2020, we transform traditional IT education into a multidisciplinary, skilled-based vocational pathway that enables students to earn formal academic credits.

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What We Offer

At Insta Infotech, 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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