Data Analyst Course with Placement

Master Data Analytics and Secure Your Dream Job! Our Data Analyst Course with Placement is designed to equip you with industry-ready skills, real-world projects, and 100% placement Guarantee.

Duration

3.5 Months

Next Batch

21 July 2025

Data Analyst Course(#114)

Name

Mobile

Country

Data Analyst Course Overview

Are you looking for a lucrative career in data analytics? The number of qualified data analysts is currently on the rise as companies shift towards more data-centric decision-making processes. To help you get a job, we crafted an analytics course that teaches in-demand skills, which is our Data Analyst Course with Placement.

As a fresher or a professional looking to switch to a different industry, this course is ideal for you. We ensure your success by providing you with step-by-step guidance, practical experience, and a 100% placement guarantee. On day one of the job, you will be ready as you will have acquired skills in data handling, statistical analysis, visualization techniques, and more.

From data wrangling to business intelligence tools and concepts, you will learn it all in our Data Analyst course. The best part is that our expert trainers incorporate real-life examples so that you can curate a portfolio that emphasizes your problem-solving abilities. Not to mention, our highly skilled placement department is there to assist you with acquiring your data analyst position.

Why Choose Our Data Analyst Course with Placement?

Selecting an appropriate training course for data analytics is vital to achieving your career goals. Let us explain why our data analyst program with a placement guarantee is unique:

100% Placement Guarantee – We provide students with employment opportunities through our complete job support, resume writing, and mock interviews.
Hands-on Learning – Gain industry experience by working on projects and case studies.
Expert Training – Learn from experienced professionals with years of experience in data analytics.
Comprehensive Curriculum – Focus on the most important and widely used tools such as Python, SQL, Excel, Tableau, and Power BI.
Flexible Learning Options – Online, weekend, and self-paced batches available.
India’s Best Institute – PyNet Labs is considered the best institute for Data Analyst Course with job Guarantee.

Upcoming Batches

Data Analyst Course

DATE

TIME

SEATS LEFT

Batch 1
Weekdays Batch
(Monday to Thursday)
Starting from 21st July 2025

3 PM to 6 PM Indian Time
5: 30 AM to 8: 30 AM Eastern Time
9: 30 AM to 12: 30 PM UTC/ GMT00

Batch 2
Weekends Batch
(Saturday & Sunday)
Starting from 2nd August 2025

1 PM to 4 PM Indian Time
3: 30 AM to 6: 30 AM Eastern Time
7: 30 AM to 10: 30 AM UTC/GMT00

Upcoming Batches

Data Analyst Course

DATE

Batch 1
Weekdays Batch
(Monday to Thursday)
Starting from 21st July 2025

TIME

3 PM to 6 PM Indian Time
5: 30 AM to 8: 30 AM Eastern Time
9: 30 AM to 12: 30 PM UTC/ GMT00

SEATS LEFT

DATE

Batch 2
Weekends Batch
(Saturday & Sunday)
Starting from 2nd August 2025

TIME

1 PM to 4 PM Indian Time
3: 30 AM to 6: 30 AM Eastern Time
7: 30 AM to 10: 30 AM UTC/GMT00

SEATS LEFT

Start Your Data Analytics Journey Today!

Data Analyst Course Fees - ~~INR 64,500~~ INR 49,500/- Only
Easy EMI Options Available
(Complimentary English Classes)

What is Data Analysis?

The understanding and analysis of collected data to give it an order in which it can be interpreted to extract accurate information is referred to as data analysis. This analysis is used for decision-making within an organization and for identifying patterns and solving problems. Usually, this involves the following processes:

Data Collection
Data Cleaning
Exploratory Data Analysis (EDA)
Statistical Analysis & Modeling
Data Visualization

Data analysts are essential in helping businesses improve operational efficiency, customer satisfaction, and profits. By learning data analysis, you open the door to exciting career opportunities in various industries.

Why You Should Learn Data Analytics?

Skills related to data analytics are among the most highly valued in the modern global job market. Here is why advancing your data analytics skills can profoundly transform your career for the better:

High Demand & Job Security – The importance of the data analyst‘s role in corporate decision-making means there is immense potential for career progression.
Lucrative Salaries – As a data analyst, you are offered industry competitive compensation with freshly graduated analysts earning between INR 4-8 LPA and seasoned professionals above INR 15 LPA.
Vast Industries to Work With – Pursue a career in finance, healthcare, E-commerce, marketing, technology, etc.
No Prior Coding Experience Required – We have revamped the entire course for beginners, and even those lacking the technical background can learn data analytics with ease.
Global Career Scope – Data analytics skills are needed everywhere, giving you the opportunity to work internationally.

Data Analyst Course Syllabus

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 (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 4 (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 5 (16 Hours): Analytics using Python

Data cleaning
Data pre-processing
NumPy and Pandas Python Libraries
Data visualisation using Bokeh and Plotly
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

Languages and Tools You will Master

Who is Eligible for This Course?

Our Data Analyst Course with Placement for Freshers and Professionals is open to:

Freshers and Graduates - This field can be pursued without any prior experience, making it a favorite for freshers.
Experienced Professionals- Make the switch from IT, Finance, or Marketing to Data Analytics.
Career transitioners - Non-technical professionals looking to enter into a data-centric world.

Data Analyst Course Requirements

Our course is beginner-friendly and requires no programming experience. Here are a few things to have:

Why Choose PyNet Labs?

20+ industry relevant projects

Problem Solving Sessions

Instructor-Led
Live Training

Placement Assistance

Lifetime Access to training recordings

Guaranteed to Run Batches

Post-training Support

Flexible Batch-Timings

Interview Preparation

Career Counselling by Experts

On-Demand classes available

Free Demo Class

What Our Students Say About Us?

Mellissa Correia

I really admire our Network Automation Instructor Chirag's creative approach to lessons and the way he converts complex topics in a very understandable one with a relative ease, he is also very supportive....

Kumar As

It's a very good institute to learn automation. I had no experience programming, but after joining CCNA DEVNET, I am now capable of writing my own python automation scripts. I am grateful to Chirag for his patient....

Steve Kpah

I can say without mincing words that PyNet Labs is a Solid training institute for Networking and Network Automation courses.....a place where You can get the very best.

Ranjith Asam

My experience with PyNetLabs is overwhelming..!
Python Devnet course is very well structured to understand the network automation concepts.
I am new to the world of programming languages and Trainer Mr.Chirag is very helpful....

Anand Sriram

I studied a Python+Devnet automation course and i really enjoyed the session, All the sessions were really good Tutor Chirag was very good in explaining doubts and providing support when we have issues with the LAB, The phase of the course is good....

Aswathy Sreekumari

I am attending Python+ Devnet course from PyNetl Labs. Instructor Mr.Chirag is very informative and the course is well structured. The course covers from basics of python to advanced concepts of network automation. Will surely recommend this....

Abhijeet Agarwal

Python Devnet course taught by Chirag Dhall is quite an informative course . Actually all sessions were very helpful. This helped understand and streamlined the thoughts on Network Automation and Chirag is an amazing teacher, calm and composed. a rare trait.

Mansoor Ali Syed

PyNet Labs is the best place to learn Python, and we got a good instructor(Chirag Dhall)..Good Place to start the Network automation journey..!

Job Placement Support – Get Hired by Top Companies

With our Data Analytics Training with Placement Service, we prepare our students for success in their ideal roles. This includes:

Resume Editing and Suggestions: Make sure to highlight your general skills and previous projects to get more views from recruiters.
Interview Simulations: Personalized sessions to practice interviews within the industry for better confidence.
Job Referrals & Placement Support: Connections with leading data analytical firms who are actively seeking your skills.
Soft Skills Training: Enhance your communication and problem-solving ability to perform successfully in the job market.

What Makes Our Data Analyst Course Different?

Our Data Analyst course with Placement goes beyond standard training programs by offering unique advantages:

Industry-Relevant Curriculum: Designed by experts to match current industry demands and trends.
Live Interactive Sessions: Get direct mentorship from industry professionals with hands-on guidance.
Real-World Case Studies: Datasheets with actual information help to solve business cases and prepare students for work.
Project: Put your newfound knowledge to work while showcasing your skills.
Networking Opportunities: Connect with industry leaders, alumni, and recruiters through exclusive events and webinars.

Industry Recognized Data Analyst 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.

Our Students Placed At

Alumni Highlights

Learn from Industry Experts

Abhijit Bakale

(CTO & CO-Founder at PyNet Labs)

Mr. Abhijit is the brain behind our training modules, lab setup, and course materials at PyNet Labs. He plays a big role in making sure our training is practical, updated, and easy to follow. He is a Cisco Certified Systems Instructor (CCSI #35944) and also holds the highly respected DevNet Expert certification (#20230021). In total, he has earned 14 Cisco certifications, showing just how skilled and experienced he is. Mr. Abhijit has delivered over 20,000 hours of training and has helped thousands of students grow in their careers. His deep knowledge and teaching style make learning complex topics much easier. Recently, he was invited by Cisco DevNet to speak at a live webinar on Network Services Orchestrator (NSO), which shows the high level of trust and recognition he has in the networking world. With his vast experience and passion for teaching, Mr. Abhijit continues to inspire and guide learners every day.

Chirag Dhall

(Corporate Trainer at PyNet Labs)

Mr. Chirag is a skilled and enthusiastic trainer at PyNet Labs. He has been with the company since the beginning and has played a key role in shaping many of our training programs. He delivers training for CCNA, CCNP ENCOR, CCNP ENARSI, CCIE Enterprise, Cisco SD-WAN, and other networking courses. He holds two top-level Cisco certifications—CCIE Enterprise Infrastructure (#68677) and CCSI (#36137)—which show his deep knowledge and teaching skills. So far, he has trained more than 3,500 students. Whether someone is just starting out or already working in the industry, Mr. Chirag is great at explaining tough topics in a simple and easy-to-understand way. His friendly teaching style and strong understanding of networking make him a favorite among students.

Sohel Japanwala

(Senior Technical Trainer at PyNet Labs)

Mr. Sohel is a knowledgeable and dedicated trainer at PyNet Labs, with strong expertise in both Networking and Data Science. He has trained over 1,000 students, helping them build solid skills and confidence in their careers. He delivers training on CCNA, ENCOR, ENARSI, BGP, OSPF, MPLS, CCNP SCOR, FTD, and many other networking topics. Alongside this, he also teaches Data Science and Data Analytics, making him a well-rounded trainer with a unique mix of skills. Students appreciate Mr. Sohel for his friendly and supportive teaching style. Whether someone is just starting out or already working in the field, he makes complex topics simple and easy to understand. His clear explanations and dedication to student success have earned him a strong reputation.

Sudhangshu Bag

(Corporate Trainer at PyNet Labs)

Mr. Sudhangshu Bag is a highly experienced trainer with over 9 years of expertise in the Networking field. His expertise are in CCNA, CCNP ENCOR, CCNP ENARSI, CompTIA, and Red Hat, making him a versatile and well-qualified instructor. In addition to Networking, he has strong skills in Linux, AWS, and computer networks, which add great value to his training sessions. So far, he has delivered more than 1,000 hours of training at PyNetLabs, helping students understand both the basics and advanced topics with ease. Mr. Sudhangshu is known for his calm teaching style, deep technical knowledge, and genuine passion for helping others learn. His students appreciate how he explains topics clearly and supports them throughout their learning journey.

Still have any Doubts?

Frequently Asked Questions

Q1. What is the average salary after completing the Data Analyst course?

After completing our Data Analyst Course with Placement Guarantee, you can expect start salary range from INR 4 to 8 LPA if you are a fresher. However, with experience, you can easily expect INR 15 LPA or more.

Q2. Do I need prior coding knowledge?

No, you don’t need prior coding knowledge to start this course. We start from scratch and provide step-to-step guidance to help you learn all necessary technologies with ease.

Q3. Is there a placement guarantee?

Yes, we offer 100% placement guarantee with our Data Analytics course. You will get job referrals, resume building, and interview preparation services once you are done with your course to make you job ready.

Q4. What industries hire data analysts?

Data analysts are highly sought out in many industries such as finance, healthcare, retail, e-commerce, marketing, and IT.

Q5. Can I learn data analytics in 3 months?

Yes! It is possible to learn Data Analytics in just 3 months with a structured curriculum and dedicated effort. Our Data Analytics training covers Python, SQL, Excel, Tableau, Power BI, and real-world projects to help you become industry ready.

Q6. What do you need to study to become a data analyst?

To become a data analyst, you should study the following topics:

Data Analysis Fundamentals (Statistics, Data Cleaning, Data Visualization)
Programming Languages (Python, SQL)
Data Visualization Tools (Tableau, Power BI)
Excel & Advanced Analytics

Our course covers all these essential topics in a structured way.

Q7. What is the qualification for a data analyst?

There are no mandatory requirements to become a data analyst. However, having a degree in Computer Science, Statistics, or related fields can be helpful. Our course is designed for freshers, working professionals, and career switchers, making data analytics accessible to anyone.

Q8. Is data analytics easy to study?

Yes! Data Analytics is easy to study with the right guidance and practice. Our beginner-friendly course makes sure you master key concepts step by step, even if you’re from a non-technical background.

Q9. What is the cost of a data analyst course?

The Course fees for Data Analyst course vary depending on duration, mode, and additional certifications. You can get in touch with us for the latest pricing details and available discounts.

Data Analyst Course with Placement

Data Analyst Course Overview

Why Choose Our Data Analyst Course with Placement?

Upcoming Batches

Upcoming Batches

What is Data Analysis?

Why You Should Learn Data Analytics?

Data Analyst Course Syllabus

Module 1 (8 Hours): Introduction to Data Analytics

Module 2 (16 Hours): Microsoft Excel

Module 3 (8 Hours): Introduction to Statistics

Module 4 (16 Hours): Introduction to Python

Module 5 (16 Hours): Analytics using Python

Module 6 (16 Hours): Power BI

Module 7 (16 Hours): SQL

Module 8 (16 Hours): Tableau

Module 9 (8 Hours): Capstone Project

Languages and Tools You will Master

Who is Eligible for This Course?

Data Analyst Course Requirements

Why Choose PyNet Labs?

20+ industry relevant projects

Problem Solving Sessions

Instructor-Led Live Training

Placement Assistance

Lifetime Access to training recordings

Guaranteed to Run Batches

Post-training Support

Flexible Batch-Timings

Interview Preparation

Career Counselling by Experts

On-Demand classes available

Free Demo Class

What Our Students Say About Us?

Job Placement Support – Get Hired by Top Companies

What Makes Our Data Analyst Course Different?

Industry Recognized Data Analyst Certification

Our Students Placed At

Alumni Highlights

Learn from Industry Experts

Frequently Asked Questions

Q1. What is the average salary after completing the Data Analyst course?

Q2. Do I need prior coding knowledge?

Q3. Is there a placement guarantee?

Q4. What industries hire data analysts?

Q5. Can I learn data analytics in 3 months?

Q6. What do you need to study to become a data analyst?

Q7. What is the qualification for a data analyst?

Q8. Is data analytics easy to study?

Q9. What is the cost of a data analyst course?

Instructor-Led
Live Training