Data Analyst Course in Pune with Placement Support

Build Job-Ready Data Analytics Skills with Hands-on Data Analyst Course in Pune

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Placement Support
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Data Analyst Course(#114)

Course Overview

If you’re looking for practical and more advanced data analyst course in Pune, you’re in the right place! Our data analytics course is perfect for you whether you are a new graduate, an entry level professional, or working in IT, finance, marketing, or operations, and looking to move into analytics. 

We ensure the transition to a data driven role is smooth by using a mix of practical training, live expert sessions, and real-world projects. In Our data analyst course in pune You will learn the most in-demand tools used in analytics today; Excel, Tableau, SQL, Power BI, Python, Statistics, and more. 

By the end of our Data Analyst Course in Pune, you will gain a strong portfolio, an employer recognized certificate, but also the essential skills every data analyst needs from data cleaning and analysis to mastering tools like Excel, SQL, and Python. With these skills and the confidence you’ll build throughout the course, you’ll be ready to take on data analytics interviews in Pune and beyond.

Data Analyst Course

Upcoming Batches

Choose a schedule that fits your lifestyle

What is Data Analytics and Why It Matters?

Data Analytics is the technique of gathering, cleaning, organizing, and interpreting raw data in order to find valuable insights that help companies make informed decisions.

Every business, from startups to tech giants, uses data analytics to:

Customer Insights

Understand and predict customer behaviour and market trends

Operational Efficiency

Optimize operations for better performance and reduce costs

Performance Tracking

Measure performance through dashboards and reports

Forecasting

Predict future outcomes by using historical data patterns

An essential part of any business is figuring out the appropriate strategy to undertake. Data Analysts examine the information and help understand what the business strategy should be. Using valuable tools like SQL, Python, and Power BI, Data Analysts transform unstructured data into valuable information. 

Have you ever been curious how businesses determine which product to release next, or how e-commerce websites recommend things that you will likely appreciate? The answer lies in data analytics. 

If you want to enhance your skills in one of the most sought-after areas in this decade, you should learn data analytics. It helps you to make data-driven decisions and create one of the most important skills of this decade. 

Why Pune Professionals Should Learn Data Analytics?

Pune is often called India’s “Education and IT Capital”, making it one of the most fertile grounds for data careers. There is an unparalleled demand for data-savvy professionals due to the city’s flourishing ecosystem comprising IT firms, multinational companies, fintech domains, and consulting firms in analytics. 

Here’s why you should pursue a data analyst course in Pune now more than ever:

Presence of Key Players

Pune is surrounded by key employers in the area like TCS, Infosys, ZS Associates, Cognizant, Accenture, and WNS which are all on the lookout for talents in data analytics.

Increased Job Opportunities

Job openings in analytics are numerous in Pune, consistently ranking among the top 5 cities in India as per Naukri and LinkedIn analytics.

Affordable Living Experience

With respect to living cost and flexible learning, Pune is most suitable for students and professionals, compared to metropolitan cities like Bangalore or Mumbai.

Encouraging Community and Activities

The data domain in Pune is surrounded by analytics offered growth opportunities, regular community events such as hackathons, workshops, and meetups.

Promising Career Mobility

A Data Analyst role in Pune offers numerous opportunities for growth after 1 to 2 years, including positions like Senior Analyst, BI Developer, and even Data Scientist.

If youre in Pune, theres never been a better time to upskill in analytics. With strong local demand and nationwide recognition, completing a data analyst course in Pune gives you both knowledge and location advantage. 

What You'll Learn - Complete Syllabus

Our data analytics course in Pune covers the entire analytics workflow, from raw data to insights and dashboards.

Module 1 (8 Hours): Introduction to Data Analytics

Part 1:  DATA ANALYTICS FOUNDATION

  • Data Analytics Introduction
  • Data Preparation for Analytics
  • Common Data Problems
  • Various Tools for Data Analytics
  • Evolution of the Analytics domain

Part 2: CLASSIFICATION OF ANALYTICS

  • Four types of Analytics
  • Descriptive Analytics
  • Diagnostics Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Human Input in Various Types of Analytics

Part 3: CRIP-DM Model

  • Introduction to the CRIP-DM Model
  • Business Understanding
  • Data Understanding
  • Data Preparation
  • Modelling, Evaluation, Deploying, Monitorin

Module 2 (16 Hours): Microsoft Excel

  • ⁠Introduction to Excel Tables
  • Validations
  • Conditional Formatting
  • Advanced Filters
  • Hyper/Data Linking
  • Data Visualization and Dashboarding
  • Collaboration and Integration
  • Advanced Data Techniques
  • Macros and VBA Programming

Module 3 (16 Hours): Introduction to Python

  • Working with Jupyter Notebook
  • Python concepts:
    o Print function
    o Variable
    o Loops
    • If
    • Else
    • For
    • While
  • Python Data Structures:
    o Array
    o Sets
    o List
    o Tuple
    o Dictionary

Module 4 (8 Hours): Introduction to Statistics

  • Introduction to Descriptive Statistics
    o Mean
    o Outlier
    o Median
    o Mode
    o Skew
    o IQR
  • Bivariate relation
  • Linearity, strength, direction
  • Slope of regression
  • Causality and correlation
  • Interpreting various graph formats:
    o Dot Plot
    o Histograms
    o Box and Whisker
    o Scatter Plots

Module 5 (16 Hours): Analytics using Python

  • Data cleaning
  • Data pre-processing
  • NumPy and Pandas Python Libraries
  • Data visualisation using Seaborn and Matplotlib
  • Data Analytics with Python
  • Case studies
  • Project

Module 6 (16 Hours): Power BI

  • Introduction to Power BI
  • Power BI Interface and Navigation
  • Connecting to Data Sources
  • Data Cleaning and Transformation
  • Advanced Transformations in Power Query
  • Data Modelling Fundamentals
  • DAX (Data Analysis Expressions) Basics
  • Advanced DAX Functions
  • Creating Basic Visuals
  • Advanced Visualizations
  • Mapping and Geospatial Visualizations
  • Custom Visuals and App Store
  • Designing Dashboards
  • Dashboard Interactivity
  • KPI Dashboards
  • Publishing and Sharing Reports
  • Collaborating in Power BI Service
  • Scheduled Refresh and Data Management
  • Advanced DAX and Calculations
  • Performance Optimization
  • Row-Level Security (RLS)
  • Case Studies

Module 7 (16 Hours): SQL

  • Introduction to Databases
  • What is SQL?
  • Installing MySQL
  • Creating the Databases
  • The SELECT Statement
  • The SELECT Clause
  • The WHERE Clause
  • The AND, OR, and NOT Operators
  • The IN Operator
  • The BETWEEN Operator
  • The LIKE Operator
  • The REGEXP Operator
  • The IS NULL Operator
  • The ORDER BY Operator
  • The LIMIT Operator
  • Inner Joins
  • Joining Across Databases
  • Self Joins
  • Joining Multiple Tables
  • Compound Join Conditions
  • Implicit Join Syntax
  • Outer Joins
  • Outer Join Between Multiple Tables
  • Self Outer Joins
  • The USING Clause
  • Natural Joins
  • Cross Joins
  • Unions
  • Column Attributes
  • Inserting a Single Row
  • Inserting Multiple Rows
  • Inserting Hierarchical Rows
  • Creating a Copy of a Table
  • Updating a Single Row
  • Updating Multiple Rows
  • Using Subqueries in Updates
  • Deleting Rows
  • Restoring Databases

Module 8 (16 Hours): Tableau

  • Introduction to Tableau
  • Connecting to Data Sources
  • Data Preparation Basics
  • Data Blending and Joins
  • Data Transformation with Tableau Prep
  • Basic Charts and Visualizations
  • Formatting Visuals
  • Tableau’s Show Me Feature
  • Advanced Charts and Visualizations
  • Calculated Fields and Table Calculations
  • Using Filters and Sets
  • Introduction to Tableau Maps
  • Advanced Mapping Techniques
  • Spatial Calculations and Custom Territories
  • Dashboard Design
  • Adding Interactivity
  • Designing Data Stories
  • Publishing and Sharing Dashboards
  • Tableau Server and Tableau Online
  • Exporting and Presentation
  • Advanced Calculations and LOD Expressions
  • Performance Optimization
  • Tableau Extensions and APIs
  • Case Studies
  • Final Project

Module 9 (8 Hours): Capstone Project

  • A comprehensive, end-to-end project to apply all course concepts.
  • Solves a real-world or business-simulated problem using data

Tools You'll Master

Youll gain hands-on experience with:

Tableau Logo
PowerBI Logo
SQL Logo
Excel Logo
Python Logo
Pandas Logo
NumPY Logo
Matplotlib Logo

Every topic includes practical assignments and guided projects to ensure deep understanding and application.

Who Should Enroll?

This data analyst course in Pune is ideal for:

Fresh graduates starting their career in analytics
IT, Finance, and Engineering professionals looking to upskill their current skill set
Marketing or Operations executives wanting to make data-driven decisions
Professionals who are switching careers to analytics and data science

Coding background is not required to join this course. Our course start from the basics and guide you step-by-step.

Career Opportunities After This Course

After completing our data analytics course in Pune, youll be eligible for roles such as:

Data Analyst
Business Analyst
Reporting Analyst
Data Visualization Specialist
MIS Executive
Junior Data Scientist

Average Salary of Entry-Level Analysts in Pune:3 LPA – ₹8 LPA

Why Choose PyNet Labs?

Live + Recorded Learning Options

Attend classes live or watch recordings at your convenience.

Industry Expert Trainers

Learn from experienced industry recognized professionals. 

Practical Approach

Our teaching is centered on real-world projects instead of just theoretical concepts.

Portfolio Development

We will assist you in creating an impressive GitHub and Power BI portfolio.

Flexible Learning Schedule

Select either a weekday or weekend batch.

Placement Assistance

Resume building, interview prep, and job referrals until you land your role

Course Duration and Mode

Mode

Duration

Type

Projects

Certificate

Online (Live + Recorded)

3 to 6 Months

Instructor-Led

10+ Projects

Industry Recognized

Course Duration and Mode

Mode

Online (Live + Recorded)

Duration

3 to 6 Months

Type

Instructor-Led

Projects

10+ Projects

Certificate

Industry Recognized

Industry Recognized Data Analytics Certification

Worldwide Recognition

Get a certification that is recognized worldwide and can open doors to various new opportunities.

Lifetime Validity

Your Certification will be valid
for a lifetime.

Data Analyst demo certification by PyNet Labs

What Our Students Say About Us?

Our Students Placed At

Learn from Industry Experts

Frequently Asked Questions

Q1. What is the duration of the Data Analyst Course in Pune? 

The duration of our data analyst course in pune is 3 to 6 months. It depends on your progress and the batch you choose (weekdays or weekends).

Q2. Do I need a technical background to learn Data Analytics?

No technical background is required to learn Data Analytics. PyNet Labs’ Data Analyst course in Pune is designed to start from the very basics and is suitable for beginners. 

Q3. What tools will I learn in this course?

You will learn majority of trending Data Analyst Tools in this course. Tableau, Power Bi, Excel, SQL, Python, Statistics, etc, are the top ones.

Q4. Is this course available offline in Pune?

At this time, the course is offered as live online sessions but learners anywhere in Pune are welcome to join.

Q5. Will I get placement assistance after completing this course?

Absolutely. After Completing this data aanalyst course in pune, we provide job guidance, assist with your CV, and help with interviews. You will also be added to a Telegram Group where our placement team shares a number of open Data positions.

Q6. What is the average salary after completing a data analyst course in Pune?

The average entry-level salary for Data analysts in Pune is 3 LPA to 8 LPA, depending on your skills level and organisation. With experience, a data analyst can easily go up to 8 to 12 LPA. 

Q7. How is your course different from other data analytics institutes in Pune?

Unlike other typical Data Analyst course in Pune, PyNet Labs focuses on practical experience and provides career guidance to students. With this course, you will not only learn tools but also apply them in real-world business contexts. 

Q8. Can I enroll if I'm still in college or a recent graduate?

Of course. A significant portion of our students are recent graduates from Pune’s top colleges or are students from Pune’s top colleges in their final semester. If you are also thinking to join this course, starting early will give you a huge edge over competition.

Q9. What happens if I miss a live class?

Don’t worry, all our classes are recorded and uploaded to the student portal within 24 Hours. You can rewatch from there and clear your doubts in the doubt sessions.

Q10. Is this course suitable for working professionals?

Yes, totally. We offer Weekend and evening batches which are perfect for working professionals. You can also access recordings from student portal in case you miss any class due to any unavoidable reason. 

Q11. What are the prerequisites for joining this course?

There are no formal prerequisites to join the Data Analyst Course in PuneBasic computer knowledge and a willingness to learn the course is enough to join this course. Excel familiarity is helpful but not mandatory. 

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Enroll in the Data Analyst Course in Pune Today

There is an increase in demand for skilled analysts in Pune and the Analytics Job Market is booming. Start your data analytics career with the Data Analytics Course in Pune offered at PyNet Labs.

To get complete syllabus and upcoming batch details.

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