Data Analytics Course Structure
Career Options
- Operations / Process Analyst
- Data Analyst (Entry Level)
- Business Analyst
- MIS / Reporting Analyst
- Power BI Developer (Junior Level)
Data Analytics
Designed for professionals to stand out in the data analytics job market..
Duration: 6 Months
Mode: Online | Offline | Hybrid
Level: Beginner → Advanced
Projects: Data analysis exercises, Practical analytics projects, Insight-generation tasks.
Certificate: Available. ISO Certified.
Module 4 – Basic & Advanced Excel – 18 Hrs
- Basic Excel
- Formulas and Functions: SUM, AVERAGE, IF, VLOOKUP, HLOOKUP
- Data Formatting: Conditional formatting, tables, sorting
- Basic Charts: Bar, line, and pie charts
- Advanced Excel
- Pivot Tables: Creating and customizing pivot tables
- Data Analysis ToolPak: Regression, correlation, statistical analysis
- Macros and VBA: Automating tasks with simple scripts
Module 5 – Power BI – 10 Hrs
- Introduction to Power BI: Dashboards and reports overview
- Connecting Data Sources: Excel, SQL, APIs
- Data Transformation: Using Power Query
- Building Visualizations: Bar charts, pie charts, maps
- DAX (Data Analysis Expressions): Calculated columns, measures
- Interactive Dashboards: Creating dynamic, user-driven reports
- Publishing and Sharing: Making your reports accessible
Data Structures & Algorithms FAQ
Who should learn DSA?
DSA is suitable for students, programmers, and learners preparing to strengthen their problem-solving and coding skills.
Do I need programming knowledge?
Yes. Basic knowledge of a programming language such as C++ is recommended.
What data structures will I learn?
Depending on the curriculum, topics can include arrays, linked lists, stacks, queues, trees, graphs, and other data structures.
Will algorithms be covered?
Yes. The course focuses on algorithmic thinking, searching, sorting, and problem-solving techniques.
Will I solve coding problems?
Yes. Regular coding problems help develop logical and algorithmic thinking.
Is DSA useful for placement preparation?
DSA is an important technical skill commonly used in coding assessments and software development interviews.
Can college students join the course?
Yes. The course is particularly useful for students building programming and problem-solving skills.
