LIVE CLASSES
Job Assistance

Master Data Analytics
with Live Instructor-Led Training

A focused data analytics course covering the complete analyst toolkit — Excel, SQL, Python (Pandas, Matplotlib), Power BI, and Tableau. Learn to clean, analyse, visualise, and communicate data insights for business decision-making. Live classroom · Certificate · Job Assistance.

Excel SQL Python Pandas Matplotlib Seaborn Power BI Tableau Statistics Data Visualisation
★★★★½ 4.8 4–6 Months Classroom English / Hindi / Marathi Certificate Job Assistance
LIVE INSTRUCTOR-LED COURSE

Data Analytics

Interactive live sessions · Real-time Q&A · Job Assistance

Demo: Yes
Duration: 4–6 Months
Language: English / Hindi / Marathi
Location: Classroom
Certificate: Yes
Assessments: Yes
Job Assist: Yes
Select Your Batch:
May 5, 2025
Mon, Wed, Fri — 7:00 PM to 9:00 PM IST
8 seats left
May 17, 2025
Sat & Sun — 10:00 AM to 1:00 PM IST
18 seats left
June 2, 2025
Mon, Wed, Fri — 8:00 AM to 10:00 AM IST
Open
7-Day Money-Back Guarantee
Live interactive classroom sessions
Session recordings after every class
Real-time Q&A with instructor
Private batch — max 30 students
Job assistance included
Industry-recognized certificate
4–6 Months Duration
Classroom Location
4.8/5 Rating
Included Job Assistance
About the Course

What This Course Covers

This course prepares you for a career as a Data Analyst by teaching you the complete industry toolkit — from Excel and SQL for data handling, through Python (Pandas, Matplotlib, Seaborn) for analysis and visualisation, to Power BI and Tableau for interactive business dashboards. You will work on real datasets, learn to tell stories with data, and build a portfolio of analytics projects.

Note: 90% hands-on practical experience · 10% essential theory. Anyone who wants to learn from Basics to Advanced Level. Programmers looking to improve programming skills.

Excel & SQL

Master Excel for data cleaning, pivot tables, and formulas; SQL for querying relational databases.

Python Analytics

Analyse and transform data with Python, Pandas, and NumPy; visualise with Matplotlib and Seaborn.

Power BI

Build interactive dashboards in Power BI — data models, DAX, slicers, and published reports.

Tableau

Create compelling visualisations and story-driven dashboards in Tableau for business audiences.

Statistics & EDA

Apply descriptive statistics, hypothesis testing, and exploratory data analysis to real business datasets.

Business & Communication

Translate data findings into actionable insights — storytelling, stakeholder reports, and presentation skills.

Course Curriculum

What You'll Learn — Module by Module

Microsoft Excel
Live sessions
Introduction to Excel — Interface & NavigationLIVE
Data Entry & FormattingLIVE
Formulas & Functions — SUM, AVERAGE, IF, VLOOKUP, INDEX-MATCHLIVE
Text Functions — CONCATENATE, LEFT, RIGHT, MID, TRIMLIVE
Date & Time FunctionsLIVE
Conditional FormattingLIVE
Sorting & FilteringLIVE
Pivot Tables & Pivot ChartsLIVE
Data Validation & Named RangesLIVE
Charts — Bar, Line, Pie, ScatterLIVE
What-If Analysis — Goal Seek, ScenariosLIVE
Doubt Clearing Session + RecordingREC
SQL for Data Analysis
Live sessions
Introduction to SQL & Relational DatabasesLIVE
SELECT, WHERE, ORDER BY, LIMITLIVE
Filtering — AND, OR, NOT, BETWEEN, LIKE, INLIVE
Aggregate Functions — COUNT, SUM, AVG, MIN, MAXLIVE
GROUP BY & HAVINGLIVE
Joins — INNER, LEFT, RIGHT, FULLLIVE
Subqueries & CTEsLIVE
Window Functions — ROW_NUMBER, RANK, LAG, LEADLIVE
Data Cleaning with SQLLIVE
SQL for Business Analytics — Real Dataset PracticeLIVE
Python for Data Analytics
Live sessions
Introduction to Python for AnalyticsLIVE
Variables, Data Types, Control StructuresLIVE
Functions & List ComprehensionsLIVE
Introduction to NumPyLIVE
NumPy Arrays & OperationsLIVE
Introduction to PandasLIVE
DataFrames — Creating, Indexing, SelectingLIVE
Data Cleaning — Handling Missing Values, DuplicatesLIVE
Data Manipulation — Merge, Group, PivotLIVE
Introduction to MatplotlibLIVE
Customizing PlotsLIVE
Introduction to Seaborn LibraryLIVE
Exploratory Data Analysis (EDA) on Real DatasetsLIVE
Statistics for Analytics
Live sessions
Descriptive Statistics — Mean, Median, Mode, VarianceLIVE
Distributions — Normal, BinomialLIVE
Correlation & CovarianceLIVE
Hypothesis Testing — T-test, Chi-SquareLIVE
Confidence IntervalsLIVE
Regression Analysis BasicsLIVE
Power BI
Live sessions
Introduction to Power BI DesktopLIVE
Connecting to Data Sources — Excel, CSV, SQLLIVE
Data Transformation with Power QueryLIVE
Data Modelling & RelationshipsLIVE
DAX — Measures, Calculated Columns, KPIsLIVE
Visualizations — Bar, Pie, Line, Map, Card, TreemapLIVE
Slicers & Page-Level FiltersLIVE
Building & Publishing Interactive DashboardsLIVE
Power BI Service & Sharing ReportsLIVE
Tableau
Live sessions
Introduction to Tableau DesktopLIVE
Connecting to Data SourcesLIVE
Building Basic ChartsLIVE
Filters, Sorting & GroupingLIVE
Calculated Fields & Table CalculationsLIVE
Dashboard Design & InteractivityLIVE
Story Points — Data StorytellingLIVE
Publishing to Tableau PublicLIVE
Capstone Projects & Career Prep
Live sessions
Analytics Project 1 — Sales & Revenue Dashboard (Power BI)LIVE
Analytics Project 2 — Customer Segmentation (Python + SQL)LIVE
Analytics Project 3 — HR Analytics Dashboard (Tableau)LIVE
Portfolio Building & GitHubLIVE
Resume Writing for Data Analyst RolesLIVE
Mock Interviews — SQL & Case Study RoundLIVE
Certificate Award SessionLIVE
What You'll Learn
Excel — pivot tables, VLOOKUP, charts
SQL — queries, joins, window functions
Python — Pandas, NumPy, Matplotlib
Seaborn data visualisation
Exploratory Data Analysis (EDA)
Statistics & hypothesis testing
Power BI — dashboards & DAX
Tableau — charts & story points
3 real-world analytics projects
Portfolio & GitHub setup
Interview preparation

Live Classroom 4–6 Months Certificate
Enroll Now
Our Alumni

Our Students Are Getting Hired

RB
Ronak Bhati (B.Com)
Python Developer
6 LPA
SS
Sachin Suryavanshi (B.Com)
Python Developer
5.5 LPA
BB
Bhavtik Bariya (BSC IT)
.NET Developer
3.7 LPA
HP
Hemendra Pandya
Power BI Developer
3 LPA
About Instructor

Learn from an Industry Expert

SU
Prof. Santtosh Upadhyay
Lead Instructor — Data Analytics, CodeMines Academy
12+ Years Experience 100+ Students Mentored MSc Data Science, Dublin Business School (Ireland)

With over 12 years of extensive experience in software development, I bring a wealth of knowledge in PHP, .NET, Python, Java, and cloud technologies. My passion for teaching has led me to mentor and educate more than 100 students across various courses, including web development and app development.

I am dedicated to providing a comprehensive and engaging learning experience, helping students to not only grasp the fundamentals but also master advanced concepts. Join me on this educational journey and unlock your full potential in the world of technology. Don't miss out on our special offers.

FAQs

Frequently Asked Questions

Our counsellors are available Mon–Sat, 9am–7pm IST.

Call Us Now
Is a demo lecture available?
Yes. A free demo lecture is available. Contact us via WhatsApp or phone to schedule.
Do I need prior programming experience?
No prior experience is required. Anyone who wants to learn from Basics to Advanced Level is welcome.
Is this a classroom or online course?
This is a live, classroom-based course with in-person instruction.
What language are classes taught in?
Classes are conducted in English, Hindi, and Marathi.
Will I get a certificate?
Yes. An industry-recognized certificate is awarded on successful completion of all modules and assessments.
Is job assistance included?
Yes. Job assistance including resume preparation, mock interviews, and placement support is included.
Do I need coding experience for this course?
No. The course starts from the basics of Excel and SQL, and Python is introduced step by step from scratch.
What tools will I learn?
Excel, SQL, Python (Pandas, Matplotlib, Seaborn), Power BI, and Tableau — the complete data analyst toolkit.

Ready to Start Your Data Analytics Career?

Join the next live batch — master Excel, SQL, Python, Power BI, and Tableau with real datasets and 3 portfolio projects.