Data Analytics Course in Visakhapatnam
Learn to collect, clean, analyze, and visualize data using Excel, SQL, Python, and Power BI. Build real-world dashboards, uncover business insights, and land your first analytics role.
Why Learn Data Analytics?
One of the fastest-growing skills across every industry
Every business — from startups to large enterprises — relies on data to make decisions. Analysts who can interpret data and present insights clearly are in high demand across finance, retail, healthcare, logistics, and tech.
Learn the full analytics workflow from raw data to decisions
Students learn how to import, clean, transform, analyze, and visualize data using industry tools like Excel, SQL, Python, and Power BI — the exact stack used in real analyst roles.
Build a portfolio of dashboards and real-world projects
Each module leads to a tangible deliverable — a cleaned dataset, a SQL report, a Python analysis script, or a Power BI dashboard — so students graduate with a strong, shareable portfolio.
Analytics Skill Snapshot
Data wrangling, queries, pivot tables, and reporting
Pandas, NumPy, Matplotlib, and data storytelling
Distributions, probability, hypothesis testing, and EDA
Interactive dashboards, DAX, and business reporting
Data Analytics Curriculum
The curriculum is structured into clear learning stages so students progress from data fundamentals to advanced analysis, visualization, and portfolio-ready projects.
Understand what data analytics is, where it's applied, and how analysts work in real business environments.
- Types of data: structured, unstructured, qualitative, and quantitative
- The analytics workflow: collect → clean → analyze → visualize → decide
- Industry applications across finance, healthcare, retail, and operations
Build a strong foundation in spreadsheet analysis — still the most widely used tool in real analytics work.
- Formulas, functions, VLOOKUP, INDEX-MATCH, and conditional logic
- Pivot tables, pivot charts, slicers, and dashboard basics
- Data cleaning, sorting, filtering, and handling missing values in Excel
Learn to query databases and extract meaningful insights directly from relational data sources.
- SELECT, WHERE, GROUP BY, ORDER BY, and aggregate functions
- JOINs, subqueries, CTEs, and window functions for complex reporting
- Writing business queries: sales analysis, customer segmentation, and trend reporting
Use Python to automate data workflows, perform statistical analysis, and create professional visualizations.
- Python basics, Pandas for data manipulation, and NumPy for numerical operations
- Exploratory Data Analysis (EDA): distributions, correlations, and outlier detection
- Data visualization using Matplotlib and Seaborn — charts, heatmaps, and trend plots
Understand the statistical foundations that power data insights, then build live dashboards in Power BI.
- Descriptive statistics: mean, median, standard deviation, and probability basics
- Hypothesis testing, confidence intervals, and A/B testing concepts
- Power BI: data modeling, DAX measures, relationships, and interactive report design
Apply every skill in end-to-end analytics projects and prepare your portfolio for job applications.
- Full-cycle project: data collection, cleaning, analysis, visualization, and reporting
- Domain projects: sales analytics, HR attrition, e-commerce performance, and more
- Portfolio presentation, GitHub upload, resume tips, and interview preparation
Tools You'll Master
After This Program, You Will:
Clean and transform messy real-world datasets using Excel, SQL, and Python Pandas
Write SQL queries to extract, aggregate, and filter data from relational databases
Perform exploratory data analysis and communicate findings through compelling charts and visuals
Apply statistical concepts like distributions, correlations, and hypothesis testing to real problems
Design interactive Power BI dashboards with DAX measures, filters, and KPI cards
Build a job-ready portfolio with domain-specific analytics projects to showcase to employers
Where This Takes You
Data Analyst
Query, analyze, and report data insights for business teams
Business Intelligence Analyst
Build dashboards and deliver executive-level data reporting
Reporting Analyst
Automate recurring reports and maintain analytics pipelines
Junior Data Scientist
Apply analytics fundamentals as a stepping stone into ML roles
Your Journey — Week by Week
Weeks 1–4
Data basics, Excel mastery, and pivot tables
Weeks 5–6
SQL queries and database analysis
Weeks 7–10
Python, Pandas, EDA, and data visualization
Weeks 11–13
Statistics fundamentals and Power BI dashboards
Weeks 14–16
Capstone projects, portfolio, and interview prep
Ready to Start Your Data Analytics Journey?
Next batch starts June 2026. Limited seats available. Book your free demo class and explore how we teach data analytics through hands-on, real-world projects that build your portfolio from day one.