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Data Analyst Course with Placement Support

Don't just look at numbers. Visualize them. Master PowerBI, SQL, and Excel to become an indispensable Data Analyst.

8 LPA
Avg. Package
PL-300
Exam Prep
Live
Project Training
100%
Placement Support*

Why Become a Data Analyst?

Every company is a data company. They need people who can read the data.

PowerBI Dashboarding

Stop sending boring Excel sheets. Learn to build interactive, real-time dashboards that executives love. Master DAX (Data Analysis Expressions).

Total Sales =
CALCULATE(
SUM('Sales'[Amount]),
'Sales'[Status] = "Completed"
)
// This DAX measure powers your KPI card

SQL Skills

You can't analyze what you can't access. Learn to write complex SQL queries to pull data from company databases yourself.

Excel Pro

Excel isn't dead. It's evolved. Learn Power Query, Pivot Tables, and Macros to automate your daily reports in seconds.

Automation Edge

Why copy-paste data all day? We teach you basic Python (Pandas) to automate boring tasks, giving you time to focus on insights.

Python Scripting
Pandas

The Data Analyst Curriculum

From messy spreadsheets to beautiful insights.

Analytics Basics

  • Introduction to Data Analytics
  • Types of Analytics (Descriptive, Diagnostic, Predictive, Prescriptive)
  • Data Analytics Lifecycle
  • Business Understanding

Excel Skills

  • Excel Basics & Functions
  • Data Cleaning Techniques
  • Pivot Tables & Pivot Charts
  • Lookup Functions (VLOOKUP, HLOOKUP, XLOOKUP)
  • Data Visualization in Excel
  • Advanced Excel (Macros, What-If Analysis)

SQL Skills

  • Database Concepts
  • SQL Queries (SELECT, WHERE, ORDER BY)
  • Joins & Subqueries
  • Aggregations & Grouping
  • Window Functions
  • Data Extraction & Transformation

Python Skills

  • Python Basics
  • NumPy & Pandas
  • Data Cleaning & Manipulation
  • Exploratory Data Analysis (EDA)
  • Visualization (Matplotlib, Seaborn)

Viz Tools

  • Tableau
  • Power BI
  • Dashboard Design Principles
  • Interactive Reports
  • Storytelling with Data

Statistics

  • Descriptive Statistics
  • Probability Basics
  • Hypothesis Testing
  • Correlation & Regression Basics

Business Insights

  • KPI & Metrics Design
  • Business Intelligence Concepts
  • Domain-Based Case Studies (Finance, Marketing, Sales)

ETL Process

  • Data Collection Methods
  • Data Cleaning & Transformation
  • ETL Concepts

Communication

  • Data Storytelling
  • Presentation Skills
  • Creating Business Reports
  • Stakeholder Communication

Tools

  • Git & Version Control Basics
  • Working with APIs
  • Automation Basics
Industry Standard Tools

Master the Tools of the Trade

Get hands-on experience with the practical tools and platforms used by top engineering teams worldwide.

PowerBI

Visualization

Tableau

Visualization

SQL

Database

Excel

Analysis

Python

Analysis

Slack

Communication

Jira

Project Mgmt

GitHub

Version Control

Git

Version Control

OpenAI

AI Assistant

Gemini

AI Assistant

Zoom

Communication

Your 5-Month Journey to Success

A structured, intense, and outcome-oriented roadmap designed to take you from novice to professional.

Month 1

Py & Stats

Python programming and Statistics for Data Science.

PythonNumPyProbabilityHypothesis Testing
Month 2

Data Analysis

Data Manipulation and Visualization with Pandas and Matplotlib.

PandasMatplotlib/SeabornEDASQL for Data
Month 3

Machine Learning

Supervised and Unsupervised learning algorithms.

Scikit-LearnRegression/ClassificationClusteringModel Eval
Month 4

Deep Learning

Neural Networks, CNNs for Image, and RNNs/LSTMs.

TensorFlow/KerasCNNsNLP BasicsDeployment
Month 5

Career Prep

Portfolio building, GitHub profile, and Mock Interviews.

Portfolio ProjectsResume ReviewMock InterviewsKaggle

Real-World Data Scenarios

Build a portfolio that proves you can turn raw data into actionable business insights.

Total Revenue
$2.4M
Power BI Dashboarding

E-Commerce Sales Dashboard

Build an interactive executive dashboard monitoring regional sales, product performance, and customer retention using advanced DAX.

PowerBIDAXStories
SELECT
c.customer_name,
SUM(o.amount) as total
FROM
customers c
JOIN
orders o ON ...
Advanced SQL

Retail Data Analysis

Design a normalized database schema and write complex SQL queries (Joins, CTEs, Window Functions) to extract key business metrics.

SQL ServerETLModeling
Customer Churn Heatmap
Python & Excel

Churn Prediction Analysis

Clean messy datasets using Python Pandas and use Excel Pivot Tables to identify patterns in customer attrition.

PythonPandasExcel
Official Certification

Earn a Certificate that
Proves Your Expertise

Upon successful completion of the course and capstone project, you will receive an industry-recognized certification from Aideas Academy.

Verifiable Credential ID
Shareable on LinkedIn & Resume
Lifetime Validity
Accredited by Industry Partners
Aideas Academy Professional Course Completion Certificate
Career Launchpad

We Don't Just Teach.
We Get You Hired.

Our dedicated placement cell works tirelessly to ensure you land your dream job. From resume building to mock interviews, we cover it all.

Resume Building

Craft a world-class resume that stands out. We help you highlight your skills and projects effectively.

  • ATS Optimized
  • Project Highlighting
  • Keyword Strategy

Mock Interviews

Practice with industry experts. Get real-time feedback to crack technical and HR rounds with confidence.

  • Technical Rounds
  • HR Questions
  • Confidence Building
Most Popular

Career Mentorship

1-on-1 guidance from seniors in top MNCs. Map out your career path and meaningful growth strategies.

  • 1-on-1 Sessions
  • Industry Insights
  • Growth Roadmap

Job Alerts

Get exclusive access to our hiring network. We connect you directly with startups and MNCs hiring now.

  • Exclusive Openings
  • Direct Referrals
  • Interview Scheduling
Real Stories, Real Success

Don't Just Take Our Word.
See Their Offer Letters.

Join 1,200+ students who have transformed their careers with our Data Analyst program.

AM
9.5 LPA

Arjun Mehta

Python Developer @ Accenture

I shifted from manual testing to Python development. The Django and API modules are very detailed. I built a complete E-commerce site which impressed my interviewers.

PS
11 LPA

Priya Sharma

Data Engineer @ Deloitte

The combination of Python, SQL, and AWS in this course is perfect for Data Engineering roles. I use the concepts I learned here every single day at my job.

VS
8 LPA

Vishal Singh

Backend Developer @ Zoho

FastAPI coverage was excellent. I learned how to build high-performance APIs and handle async requests. The mock interviews helped me refine my technical answers.

NP
7.5 LPA

Neha Patel

Software Developer @ IBM

I had zero coding knowledge. They started with basic Python and took us to advanced frameworks. The mentorship and code reviews were very helpful.

1,200+
Students Placed
12 LPA
Highest Package
4.5 LPA
Avg. Package
93%
Placement Rate

Frequently Asked Questions

Everything you need to know about the course and certification.

Do I need math for Data Analytics?

Basic statistics and probability are used. We cover everything from the ground up, so no advanced math background is required.

Is this course practical?

Extremely. You will work on real datasets from E-commerce, Finance, and Healthcare sectors using PowerBI and SQL.

Which tool is better: PowerBI or Tableau?

Both have their strengths. PowerBI is deeply integrated with the Microsoft ecosystem, while Tableau is known for high-end visualizations. We cover both.

Do you provide placement support?

Yes, we provide 100% placement support* with resume building, mock interviews, and access to our hiring network.

Is coding required?

For a Data Analyst, basic SQL and basic Python (Pandas) are required. We teach you these as part of the curriculum.

Data is the New Oil. Master the Extraction.

Become a Data Analyst and help companies make better decisions.

WhatsApp Us+91 79930 49985