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Course Highlights

Data Analytics Course Highlights:

  • Data Analytics is the process of examining, cleaning, transforming, and modeling data to discover useful insights and support decision-making.
  • To ensure a comprehensive understanding, the course is structured into three levels: foundational tools (Excel, SQL), analytical techniques using Python and Power BI, and project-based learning with real-world case studies.

  • 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 Analytics - Besant technologies course?

  • Student will be able to apply Data Analytics tools like Excel, SQL, Python, and Power BI to solve real-world business problems and make data-driven decisions across industries.
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Reasons to enrol

Why should you take Data Analytics - Besant technologies Course?

  • Industry-Relevant Learning Outcomes
  • Master essential tools like Excel, SQL, Python, Power BI, and Tableau for analysing data
  • Learn how to clean, visualise, and interpret large datasets to solve real-world problems
  • Get hands-on experience through projects and case studies from industries like finance, marketing, and healthcare
  • Understand how to derive actionable business insights and support data-driven decision-making
  • Improve your career prospects with job-ready skills and preparation for high-demand roles like Data Analyst, Business Analyst, and Reporting Specialist
  • Learn from certified instructors and gain access to industry-recognised certifications
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Ideal Participants

Who should take Data Analytics - Besant technologies Course?

  • Freshers and Graduates aspiring to kickstart a career in Data Analytics or Business Intelligence
  • Working Professionals from non-technical backgrounds looking to transition into the tech/data domain
  • IT and Software Engineers aiming to strengthen their analytics and visualisation skills
  • Marketing, Finance, and Operations Professionals interested in using data to make strategic decisions
  • Entrepreneurs and Business Owners who want to leverage data to grow their business
  • Jobseekers and career changers looking for high-demand, future-proof roles in tech
  • Anyone interested in understanding and solving real-world problems using data
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Curriculum

Curriculum

  • Level 1: Excel for Data Analysis
    • Fundamentals of MS Excel
    • Data Cleaning, Formatting and Sorting
    • Logical, Lookup, and Statistical Functions
    • Pivot Tables, Charts, and Dashboards
    • What-if Analysis and Scenario Planning
  • Level 2: SQL for Data Querying
    • Relational Database Concepts
    • Writing Basic to Advanced SQL Queries
    • Data Filtering, Joins, Subqueries
    • Aggregations and Group By Operations
    • Views, Indexes, and SQL Functions
    • Real-world Query Projects
  • Level 3: Power BI for Visualisation
    • Power BI Overview and Interface
    • Data Import and Power Query Editor
    • DAX Expressions and Calculated Columns
    • Interactive Dashboards and Data Stories
    • Publishing Reports to Power BI Service
    • Row-level Security and Sharing Insights
  • Level 4: Python for Data Analytics
    • Python Basics: Data Types, Functions, Loops
    • Libraries: NumPy, Pandas for Data Wrangling
    • Data Cleaning, Manipulation, and Merging
    • Exploratory Data Analysis with Matplotlib and Seaborn
    • Real-world Mini Projects (e.g., Sales Trends, Customer Churn)
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skills and tools

Tools you will learn in Data Analytics - Besant technologies Course?

In this hands-on Data Analytics course, you will master a suite of industry-relevant tools that are highly sought after by employers and essential for real-world analytics projects:

  • 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
  • Building interactive dashboards, using DAX, data modeling, and publishing reports
  • Python for Data Analysis
  • Data cleaning and manipulation using Pandas, Visualization using Matplotlib and Seaborn
  • Analytical and Problem-solving Skills
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