Data Analytics
Part of the Skill Tracks track
Unlock insights from data. Learn to collect, process, and visualize complex datasets to drive informed decision-making.
About this course
What you'll learn
- Understand the data analytics workflow and how businesses use data
- Organise, filter, and analyse datasets using Excel and pivot tables
- Write SQL queries to extract and aggregate data from relational databases
- Clean and prepare real-world datasets by handling missing values and inconsistencies
- Analyse data with Python using Pandas and NumPy
- Build interactive dashboards and tell clear visual stories with Power BI or Tableau
Skills you'll gain
Tools you'll learn
Details to know
Add it to your LinkedIn profile
Real datasets and dashboards every week
No prior data experience needed
Turn raw data into business decisions
Data skills are among the most hired across every industry. This track takes you from spreadsheets to interactive dashboards.
- Learn Excel, SQL, and Python — the three tools every data analyst uses daily
- Practice with real datasets so your skills transfer directly to the workplace
- Build dashboards employers can see and understand at a glance
- Graduate with a capstone project and portfolio ready for job applications
There are 20 modules in this course
Work through hands-on units that build on each other — from fundamentals to a final project.
Data Analytics FoundationsW1
Role of data analytics, types of data, business use cases, and workflow.
Excel for Data AnalysisW2
Spreadsheets, formulas, sorting, filtering, and data organization.
SQL BasicsW3
Databases, queries, filtering, joins, and insight extraction.
Data Cleaning & PreparationW4
Handling missing values, duplicates, and preparing datasets.
Statistics for AnalyticsW5
Averages, distributions, trends, correlation, and logic.
Python for AnalyticsW6
Python basics, Pandas, and data manipulation workflows.
Dashboards & VisualizationW7
Reports, dashboards, and visual storytelling with BI tools.
Projects & Career ReadinessW8
Real-world projects, results presentation, and job prep.
Introduction to Data AnalyticsW1
Concepts, data types, business apps, and complete process.
Excel EssentialsW2
Spreadsheets, formulas, charts, and data organization.
Advanced ExcelW3
Pivot tables, lookups, dashboards, and automation basics.
SQL FundamentalsW4
SELECT queries, filtering, sorting, and retrieval techniques.
Advanced SQLW5
Joins, subqueries, window functions, and reporting.
Data Cleaning & PreparationW6
Handling missing values and inconsistent data formats.
Statistics for AnalyticsW7
Probability, correlation, distributions, and trends.
Python FundamentalsW8
Variables, loops, functions, and coding for analytics.
Python Data AnalysisW9
Pandas, NumPy, and visualization libraries for exploration.
Dashboards & BI ToolsW10
Building interactive dashboards with Power BI or Tableau.
Real-World Case StudiesW11
Solving business problems and decision-making scenarios.
Capstone ProjectW12
Final project, portfolio building, and interview prep.
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View courseWhy learners choose Realcode Synapse
RCS institute provide an excellent java full stack traning with hands on project experience. The trainers were knowledge and made complex topics easy to understand.
I took java full stack training here I was very satisfied with staffs teaching.
I had great learning experience at realcode synapse, Khammam. I learned excel, sql, python and powerBI in a very practical way. Trainers explained concepts clearly and supported us throughout the course. Highly recommended for data analytics learners.
The Data Analytics trainer at Real code Synapse teaches Excel, SQL, Power BI, and Python step-by-step — perfect for beginners.
Frequently asked questions
Do I need a programming or math background?
No. The course starts from data basics and introduces statistics and Python in a beginner-friendly way.
How long is the course?
Fundamentals track is 8 weeks; the Advanced track runs 12 weeks with deeper SQL, Python, and BI coverage.
Will I get a certificate?
Yes — a shareable certificate you can showcase on LinkedIn and attach to job applications.
What tools will I know how to use after this course?
Excel, SQL, Python with Pandas and NumPy, and either Power BI or Tableau for dashboard creation.