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Course Highlights

Data Science and AI Course Highlights:

  • Data Science empowers you to extract insights from complex datasets using Statistical Analysis, Machine Learning, and Visualisation Techniques for solving real-world problems.
  • Artificial Intelligence focuses on building intelligent systems capable of Decision-making, Natural Language Processing, Computer Vision, and Automation Across Industries.
  • The course covers key tools and languages such as Python, R, SQL, TensorFlow, PyTorch, Power BI, and Tableau for hands-on data manipulation and model building.
  • To help you master these domains comprehensively, we have segmented the course into 4 levels and structured the topics progressively from beginner to advanced.

  • Skill Type

  • Course Duration

  • Domain

  • GOI Incentive applicable

  • Course Category

  • Nasscom Assessment

  • Placement Assistance

  • Certificate Earned

  • Content Alignment Type

  • NOS Details

  • Mode of Delivery

Course Details

Learning Objectives

What will you learn in Data Science and AI-Besant Technologies course?

  • Students will be able to analyse, visualise, and interpret complex datasets using Python, SQL, and BI tools, and apply Machine Learning (ML) and Artificial Intelligence (AI) techniques to solve real-world business problems.
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Reasons to enrol

Why should you take Data Science and AI-Besant Technologies course?

  • Microsoft Excel:
    • Data formatting, pivot tables, advanced formulas, dashboards, and scenario analysis
  • SQL (Structured Query Language):
    • Writing complex queries, data extraction, joins, aggregations, and database management
  • Power BI and Tableau:
    • Building interactive dashboards, data modeling, using DAX, and publishing reports for business intelligence
  • Python for Data Analysis and AI:
    • Data cleaning and manipulation using Pandas, visualisation using Matplotlib and Seaborn, and building AI/ML models using TensorFlow and PyTorch
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Ideal Participants

Who should take Data Science and AI-Besant Technologies course?

  • Freshers and Graduates aspiring to build a career in Data Analytics, Machine Learning, and Artificial Intelligence
  • IT and Software Professionals looking to transition into high-demand, data-driven roles
  • Business Analysts and Domain Experts wanting to leverage data for smarter decision-making
  • Marketing, Finance, and Operations Professionals aiming to use data insights for strategic planning
  • Entrepreneurs and Business Owners seeking to implement AI and analytics to scale their businesses
  • Jobseekers and Career Changers targeting future-proof roles like Data Scientist, AI Engineer, and Business Intelligence Specialist
  • Anyone curious about mastering tools and techniques to analyse, visualise, and build intelligent systems for real-world applications
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Curriculum

Curriculum

Level 1: Excel for Data Analysis

  • Fundamentals of MS Excel and Data Handling
  • Data Cleaning, Formatting, and Sorting Techniques
  • Logical, Lookup, and Statistical Functions
  • Pivot Tables, Charts, and Dashboard Creation
  • What-if Analysis and Scenario Planning

Level 2: SQL for Data Querying

  • Relational Database Concepts and Data Models
  • Writing Basic to Advanced SQL Queries
  • Data Filtering, Joins, Subqueries, and Aggregations
  • Views, Indexes, and SQL Functions
  • Real-world Database Querying Projects

Level 3: Power BI for Data Visualisation

  • Power BI Overview and User Interface
  • Data Import and Power Query Editor
  • DAX Expressions and Calculated Fields
  • Interactive Dashboards and Data Stories
  • Publishing Reports and Sharing Insights Securely

Level 4: Python for Data Analytics and AI

  • Python Basics: Data Types, Functions, and Loops
  • Libraries: NumPy, Pandas for Data Wrangling
  • Exploratory Data Analysis with Matplotlib and Seaborn
  • Introduction to Machine Learning: Supervised and Unsupervised Algorithms
  • Building AI Models: Basics of Neural Networks, TensorFlow and Generative AI Concepts
  • Real-world Projects (e.g., Sales Forecasting, Customer Churn Prediction, Image Classification with AI Models)
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skills and tools

Tools you will learn in Data Science and AI-Besant Technologies course?

  • Microsoft Excel:
    • Data formatting, pivot tables, advanced formulas, dashboards, and scenario analysis
  • SQL (Structured Query Language):
    • Writing complex queries, data extraction, joins, aggregations, and managing relational databases
  • Power BI:
    • Building interactive dashboards, using DAX for calculated columns, data modeling, and publishing reports
  • Python for Data Analytics:
    • Data cleaning and manipulation using Pandas, Data visualization with Matplotlib and Seaborn, and automation scripts
  • Machine Learning Libraries:
    • Scikit-learn for implementing ML algorithms, TensorFlow and Keras for Deep Learning, and Hugging Face for AI models
  • Generative AI Tools:
    • Introduction to OpenAI APIs, Prompt Engineering, and building simple AI-driven applications
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