About Data Analytics
Data Analytics is the process of examining, cleaning, transforming and modelling data to discover useful information, draw conclusions and support decision-making. Every business today, from retail stores and hospitals to banks and e-commerce companies, collects data, and they need people who can turn that data into clear answers.
In this course you learn the complete analyst toolkit, starting with Excel, moving to SQL for querying databases, Power BI and Tableau for dashboards, and Python with Pandas, NumPy and Matplotlib for analysis and visualisation. You practise on real datasets and finish with dashboard and analysis projects you can show in interviews.
What this Course includes ?
Technology Training
Real Time Projects
1:1 Doubt solving
Learn to Crack Interviews
Panel Mock Interview
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Data Analytics course?
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Course time
Course Syllabus
Course Fees
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Data Analytics Course
Breakdown
100%
Hands-on Training
3-5
Real Time Projects
70-100
Practical Assignments
3+
Assessments / Mock Interviews
Mon - Fri
Online/Offline
1 Hour Real time interactive teaching
2 Hours Practice Time
Course Syllabus
- What data analysts do
- Types of data and data sources
- The data analysis process
- Descriptive, diagnostic, predictive and prescriptive analytics
- Formulas and functions (IF, VLOOKUP, XLOOKUP, INDEX-MATCH)
- Data cleaning and validation
- Pivot tables and pivot charts
- Conditional formatting
- Excel dashboards
- Mean, median, mode and spread
- Probability basics
- Distributions and sampling
- Correlation and regression
- Hypothesis testing
- SELECT, WHERE, ORDER BY
- Aggregate functions and GROUP BY
- Joins and subqueries
- Common table expressions (CTEs)
- Window functions
- Python fundamentals
- NumPy arrays
- Pandas DataFrames: cleaning, merging, grouping
- Exploratory data analysis
- Matplotlib and Seaborn charts
- Power Query: importing and transforming data
- Data modelling and relationships
- DAX measures
- Interactive reports and dashboards
- Publishing and sharing
- Connecting to data
- Charts, maps and calculated fields
- Dashboards and stories
- Sales dashboard project
- End-to-end analysis case study
- Building a portfolio
- Resume building and mock interviews
Course FAQ’S
Data analytics is the practice of collecting, cleaning and analysing data to find patterns and answer business questions. Analysts present their findings as reports and dashboards that help teams make better decisions.
No. The course starts from the basics of Excel and statistics and introduces SQL and Python step by step. Comfort with school-level maths is enough to begin.
You will learn Microsoft Excel, SQL, Power BI, Tableau and Python with the Pandas, NumPy and Matplotlib libraries. These are the tools most often listed in data analyst job descriptions.
Students of any degree (B.Sc, B.Com, BBA, BCA, B.Tech, MBA), freshers and working professionals who want to move into data roles can join. Many learners come from non-IT backgrounds.
Both. You can attend classroom sessions at our institute in Nellore or join online. Classes run Monday to Friday with one hour of real-time interactive teaching and two hours of practice time.
Yes. You will complete 3-5 real-time projects, such as building sales and performance dashboards and analysing real datasets end to end, along with 70-100 practical assignments.
You can apply for roles such as Data Analyst, Business Analyst, MIS Executive, Reporting Analyst and Power BI Developer. We also run mock interviews and help you prepare your resume.
Yes. You receive a W3 Technologies course completion certificate after completing the course and its assessments.
Fill out the form on this page or call +91 741-693-9333. Our counsellors will share the current fees, batch timings and the full syllabus.
