Welcome to DataPataShala

Your Journey to Data Analytics Starts Here

  • 16-week online Data Analyst Course.
  • Certification and Placement Support.
  • 1-year post-placement assistance included.

Live session on zoom

Interactive classes led by expert mentors in real-time.

4 Months Data Analytics Accelerator

A step-by-step 16-week program designed to build and refine your data analytics skills effectively.

Mentorship

1-on-1 guidance from experienced industry analysts.

Placement Support

Dedicated support to help you land your dream analytics role.

Prepare you for the future

Kickstart your dream career in Data Analytics with DataPatashala! Our expert-led courses are designed to transform fresh graduates and professionals into industry-ready analytics experts. Get personalized guidance, real-world projects, and 100% placement support to land your dream role.

Innovative Learning Approaches

At DataPatashala, we believe in staying ahead of the curve by embracing cutting-edge methodologies and tools to deliver impactful learning experiences. Our curriculum is designed to provide:

  • Hands-On Projects
  • Interactive Tools
  • Expert-Led Sessions
  • Comprehensive Assessments

Flexible Learning Environment

We understand the importance of balancing learning with other commitments. That’s why our platform is designed to provide structure and accessibility while ensuring high-quality education. Here’s what makes our approach unique:

  • Weekend Live Classes
  • Midweek Mentorship Sessions
  • Advanced Analytics Knowledge Sessions
  • Access to Recorded Sessions
  • Dedicated Guidance

Master Industry-Leading Tools for Data Analytics Success.

From Excel to Python and Power BI, gain hands-on experience with tools that drive industry decisions.

Excel

SQL

Power BI

Python

NumPy

Pandas

Matplotlib

Seaborn

Jupyter

Github

Google Analytics

Why choose Us

At DataPatashala, we offer a holistic learning experience designed to equip you with the skills, knowledge, and support you need to succeed in the competitive world of Data Analytics. Here's what you’ll get when you join us:

Comprehensive 4-Month Training

2-Month Internship

Placement Assistance

Expert Mentorship

Live Weekend Classes

Weekday Doubt Clearing

Project Assistance

Alumni Benefits

Job Profile Setup

Featured on

We are featured on some top publications showcasing the process.

Meet our Mentors

Farman

Instructor for Python and PowerBI with over 5 years of experience

Anjali Pandey

Instructor for SQL

Venkata Kiran

Instructor for SQL, Excel, Google Analytics

Lavanya Geetha RS

Instructor for Python

Hashleen Kaur

Instructor for Excel, Communication Skills

Our mentors are coming from

Your Future Job Title

Data Analyst

Average Analyst Salary
7-9 Lakh

What sets us Apart

Our students have transformed their careers with DataPatashala. Hear directly from them about their experiences and achievements.

The curriculum at DataPatashala is thoughtfully designed to meet the evolving needs of the analytics industry. As a mentor, I’m excited to share my expertise and guide students toward achieving their career goals.

With the demand for data-driven decision-making on the rise, DataPatashala is a timely initiative. Its focus on hands-on training and real-world projects sets it apart.

DataPatashala bridges the gap between academic learning and industry requirements. This platform empowers students from diverse backgrounds to enter the world of analytics with confidence.

I’m impressed by DataPatashala’s commitment to providing real-world analytics training. The curriculum covers everything from foundational tools to advanced problem-solving techniques.

As someone who transitioned into data analytics myself, I know how challenging it can be without proper guidance. DataPatashala’s structured approach will make this journey much smoother for aspiring professionals.

DataPatashala emphasizes skills that truly matter in the workplace, from SQL to Power BI. Students here will graduate ready to tackle industry challenges.

What stands out about DataPatashala is the blend of technical skills and soft skills training. The inclusion of communication and storytelling modules is a game-changer.

DataPatashala’s focus on real-world projects ensures that students get a taste of industry challenges during the learning phase itself. This approach is invaluable.

Data analytics should be accessible to everyone, regardless of their background. DataPatashala’s online model and mentor support make this vision a reality.

One of the best things about DataPatashala is its focus on building confidence in students. The practical assignments and doubt-clearing sessions create a supportive learning environment.

What you will learn

Our students have transformed their careers with DataPatashala. Hear directly from them about their experiences and achievements.

Week 1

Introduction to Data Analytics

Types of Data

  • Qualitative/Categorical
  • Quantitative/Numerical

Exploratory Data Analysis (EDA)

  • Understanding data structure
  • Identifying patterns and errors
  • Finding relationships and insights

EDA Steps

  • Data Preparation
  • Data Collection and Sources
  • Data Cleaning and Wrangling
  • Data Sanity Checks

Data Exploration

  • Variable analysis
  • Summary statistics
  • Correlation and trend identification
  • Data visualization basics

Hypothesis Generation and initial analysis

Projects

  • Industry Use Case Analysis: Research a real-world industry use case where data analytics addresses business challenges, with a focus on metrics and KPIs. Identify additional insights that could be obtained to further enhance the analysis
  • Business Problem Analysis: Select a business problem, outline an analytics approach to solve it, identify potential data sources and limitations, and draft a plan to implement predictive or prescriptive analytics.

Week 2

Data prepration using excel

Excel Basics

  • Cell formatting
  • Keyboard shortcuts
  • Copying/pasting

Data Handling

  • Loading and cleaning data
  • Gathering raw data
  • Removing duplicates and handling missing values

Data Validation and Types

  • Numeric operations (average, count, rounding)
  • Text handling (cleaning strings, categorizing variables)
  • Date and timestamp management

Logical Functions in Excel

  • AND, OR, NOT, IF statements
  • Combining logical functions
  • Protecting data (sheet and cell protection)

Projects

  • Customer Demographics Analysis: Segment a customer dataset by demographics, and create visuals to display trends in age, gender, and location
  • Sales Data Visualization: Perform data calculations, find monthly averages, identify trends, and create multi-chart visuals for comprehensive insights.

Week 3

Data analysis & visualization using excel

Statistical Analysis

  • Summary statistics and measures of central tendency (mean, median, mode)
  • Range, variance, and standard deviation

Advanced Excel Functions

  • LOOKUP functions and INDEX-MATCH

Pivot Tables for Summarization

  • Creating and using pivot tables and slicers

Data Visualization

  • Charts (bar, line, pie) and formatting
  • Building dashboards

What-If Analysis

  • Scenario and sensitivity analysis
  • Growth rates, forecasting, and seasonal adjustments

Projects

  • Regional Sales Dashboard: Create a dashboard summarizing sales by region, with slicers and dynamic elements.
  • Customer Segmentation Analysis in Excel: Segment customers by demographics and purchase behavior, creating charts to visualize segments.

Week 4

Data analysis using SQL

View complete Curriculam

Your Weekly Learning Schedule

Live Classes

Every Saturday and Sunday

09:30 to 12:30PM

Mid Week Sessions

Every Wednesday

03PM to 05PM

Advanced Analytics Knowledge Sessions

Biweekly Sessions

100% placement assistance

Clear the cutoff percentage in your final project to get access to the exclusive placement portal.

Enroll now

Placement Portal Access card
Create job-ready profiles on LinkedIn and Naukri and access exclusive opportunities via our placement portal.

Internship
Gain real-world experience with a two-month internship after course completion.

Unlimited Mock Interviews
Unlimited mock interviews to prepare for real-world scenarios.

20+ Real-Time Projects
Work on 20+ real-time projects to build your portfolio and master practical skills.

Frequently asked questions

What is the duration of the course?

The course is 4 months long, with additional 2 months of internship for practical experience.

Are there assessments during the course?

Yes, we have regular assessments, quizzes, and practical assignments to ensure you're gaining the skills needed for a data analytics role.

Will I need any additional materials?

No additional materials are required. All resources, datasets, and case studies will be provided through the course portal.

Do you provide placement assistance?

Yes, we offer unlimited placement support, including referrals and assistance, until you secure a job.

Are the classes live or recorded?

We provide live weekend classes, with weekday doubt-clearing sessions for ongoing support.

Who are the mentors?

Our mentors are industry professionals with at least 5 years of experience in Data Analytics.

What kind of placement support do you offer?

We provide 100% placement support, including resume reviews, LinkedIn and Naukri profile setup, mock interviews, and access to our referral network and internal Job opportunities. We also guide you through job portals and interviews preparation to maximize your job prospects

What support do you provide after course completion?

After completing the course, you’ll receive DataPatashala Alumni benefits, including unlimited mock interviews and job profile setup.

Is there 1-on-1 support for interview preparation?

Yes, we offer personalized 1-on-1 coaching to help you prepare for interviews and ace them with confidence.

Do you offer internships?

Yes, a 2-month internship is available to students who complete the course assignments. This provides hands-on experience with real-world data analytics tasks.

What is the registration process?

You can register through our website. After filling out the registration form, you'll receive payment and confirmation details, along with access to the course platform.

Is there an installment option for course fees?

Yes, we offer flexible payment options to help you manage the course fees conveniently. Contact our support team for detailed information on payment plans.

How is feedback provided during the course?

We provide regular feedback on your progress, assignments, and projects. Our mentors and support team are also available to answer questions and offer guidance.

Verifiable Certificate of Accomplishment

Upon completing the Data Analyst Fellowship course, you'll receive a verifiable Certificate of Accomplishment that you can link to from your Résumé and LinkedIn profile.

Begin Your Data Analytics Journey Today!