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Become a
Data Analyst 
Industry-Taught. 
Career-Ready.

Learn from Top Industry Experts and unlock your full potential?

Click the link below !

₹12,000|  ₹ 15,000 Affordable. Practical. Powerful.

Enroll Now

Become a
Data Analyst 
Industry-Taught. 
Career-Ready.

Learn from Top Industry Experts and unlock your full potential?

Click the link below !

₹12,000|  ₹ 15,000 Affordable. Practical. Powerful.

Enroll Now
About this Training Program?

This practical and comprehensive Data Analytics course is designed to take you from foundational concepts to hands-on application using industry-relevant tools. You’ll explore the full data analysis lifecycle, including data cleaning, querying, statistical analysis, and visualization.


Starting with an overview of data analytics and key techniques—Descriptive, Diagnostic, Predictive, and Prescriptive—you'll build technical skills with tools such as Excel, SQL, Python, and Power BI. The course covers essential topics like data wrangling with Pandas, SQL joins and queries, data visualization, and business-focused reporting.
You’ll also learn the basics of statistics, probability, and hypothesis testing to make data-driven decisions confidently. The program concludes with a Capstone Project, where you’ll solve a real-world problem and present insights using an interactive Power BI dashboard.


By the end of the course, you’ll be well-prepared to analyze data effectively and deliver valuable insights in any business setting. 

Course Objective

By the end of this training program, participants will be able to:

  • Understand the core concepts and types of data analytics: descriptive, diagnostic, predictive, and prescriptive.
  • Perform data cleaning, transformation, and analysis using Excel, SQL, and Python.
  • Write and optimize SQL queries for data extraction, filtering, aggregation, and joining tables.
  • Use Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data analysis and visualization.
  • Apply basic statistical methods to interpret and summarize data.
  • Build interactive dashboards and reports using Power BI.
  • Communicate insights effectively through data visualization and storytelling.
  • Complete a real-world capstone project demonstrating end-to-end analytics skills. 
Why is Data Analysis so popular?

In today’s data-driven world, Data Analysis has become a critical skill across industries. Businesses are generating vast amounts of data daily, and the ability to extract insights from that data is essential for making smart, strategic decisions. This rising demand for data-driven decision-making has made Data Analysis one of the most sought-after and valuable skill sets in the job market.


Key reasons for its popularity include:

  • Informed Decision-Making: Organizations rely on data analysis to guide business strategies and reduce uncertainty.
  • High Demand for Talent: Data analysts are in demand across sectors like finance, healthcare, retail, and technology.
  • Wide Application: From understanding customer behavior to optimizing operations, data analysis plays a role in nearly every business function.
  • Accessible Tools: User-friendly tools like Excel, Power BI, SQL, and Python have lowered the barrier to entry for learning analytics.
  • Foundation for Advanced Technologies: Data analysis is a stepping stone to machine learning, AI, and automation.

By learning Data Analysis, you're gaining a versatile skill set that opens doors to countless career opportunities and empowers you to make an impact through data.

Data Analyst Course Features

👤
Live and Focused One-On-One Training Sessions.
🎓
Beginner-Friendly with No Prior Experience Required.
📊
Hands-on Projects Using Real-World Datasets.
💼
Designed for Career Transition & Job Readiness.
Why Us

Why Choose Us?

Live & One-On-One Guidance

Get tailored instruction through focused one-on-one sessions, ensuring you receive personalized support every step of the way.

No Experience? No Problem!

Our curriculum is built with beginners in mind — no prior coding or analytics experience is required to start your journey.

Hands-On, Practical Training

Work on real-world use cases and scenarios that mirror actual industry challenges, preparing you with job-ready skills.

Job Readiness & Career Transition

This course is crafted to help you transition smoothly into analytics roles, with a strong emphasis on employability and practical outcomes.

Course Curriculum

Module 1: Introduction to Data Analytics
  • What is Data Analytics?
  • Types of Analytics: Descriptive, Diagnostic, Predictive, Prescriptive.
  • Data Analyst roles and responsibilities.
  • Analytics tools overview: Python, SQL, Excel, Power BI.
Module 2: Excel for Data Analysis (Optional)
  • Data cleaning and formatting.
  • PivotTables and Pivot Charts.
  • Lookup functions (VLOOKUP, XLOOKUP).
  • Basic dashboards in Excel.
Module 3: SQL for Data Analysis
  • Introduction to Databases and RDBMS.
  • Writing basic to advanced SQL queries.
  • Filtering, Sorting, and Aggregating Data.
  • Joins: INNER, LEFT, RIGHT, FULL.
  • Subqueries, CTEs, and Window Functions.
  • Creating Views and Stored Procedures.
Module 4: Python for Data Analysis
  • Python basics: variables, data types, control flow.
  • Working with NumPy, Pandas.
  • Data cleaning and wrangling.
  • EDA with Pandas.
  • Visualization with Matplotlib and Seaborn.
  • Handling missing data and outliers.
  • Simple use of APIs and JSON.
Module 5: Statistics & Data Interpretation
  • Descriptive statistics: Mean, Median, Mode, Variance.
  • Probability basics.
  • Distributions and sampling.
  • Hypothesis testing.
  • Correlation and regression.
  • Business data interpretation.
Module 6: Power BI – Dashboards
  • Introduction to Power BI ecosystem.
  • Connecting to data sources.
  • Power Query transformations.
  • Data modeling & relationships.
  • DAX for calculated columns & measures.
  • Interactive reports & dashboards.
  • Publishing & sharing via Power BI Service.
  • Business storytelling with data.
Module 7: Capstone Project
  • Real-world data challenge.
  • End-to-end project: collection → cleaning → visualization.
  • Power BI dashboard creation.
  • Present findings to a mock stakeholder panel.
Bonuses
  • 1:1 Resume + LinkedIn Review Session.
  • Interview Prep Bootcamp.
  • Exclusive Masterclasses.
  • Mock Interview with Feedback.
Deliverables
  • Weekly Live Doubt Clearing & Mentor Support.
  • Portfolio-Ready Capstone Project.
  • Power BI Dashboard Template Pack.
  • Progress Reports.

Course Curriculum

Module 1: Introduction to Data Analytics
  • What is Data Analytics?
  • Types of Analytics: Descriptive, Diagnostic, Predictive, Prescriptive.
  • Data Analyst roles and responsibilities.
  • Analytics tools overview: Python, SQL, Excel, Power BI.
Module 2: Excel for Data Analysis
  • Data cleaning and formatting.
  • PivotTables and Pivot Charts.
  • Lookup functions (VLOOKUP, XLOOKUP).
  • Basic dashboards in Excel.
Module 3: SQL for Data Analysis
  • Introduction to Databases and RDBMS
  • Writing basic to advanced SQL queries
  • Filtering, Sorting, and Aggregating Data
  • Joins (INNER, LEFT, RIGHT, FULL)
  • Subqueries, CTEs, and Window Functions
  • Creating Views and Stored Procedures
Module 4: Python for Data Analysis
  • Python basics: variables, data types, control flow
  • Working with libraries: NumPy, Pandas
  • Data cleaning and wrangling
  • Exploratory Data Analysis (EDA) with Pandas
  • Data visualization with Matplotlib and Seaborn
  • Handling missing data and outliers
  • Simple use of APIs and JSON data
Module 5: Statistics & Data Interpretation
  • Descriptive statistics: Mean, Median, Mode, Variance
  • Probability basics
  • Data distributions and sampling
  • Hypothesis testing
  • Correlation and regression basics
  • Interpreting business data for decision-making
Module 6: Power BI – Business Intelligence & Dashboards
  • Introduction to Power BI ecosystem
  • Connecting to data sources (Excel, SQL, Web, etc.)
  • Data transformation using Power Query
  • Data modeling and relationships
  • Creating calculated columns and measures with DAX
  • Interactive reports and dashboards
  • Slicers, filters, and drill-throughs
  • Publishing to Power BI Service and sharing dashboards
  • Power BI for business storytelling
Module 7: Capstone Project
  • Real-world data problem
  • End-to-end workflow: data collection → cleaning → analysis → visualization
  • Build an interactive Power BI dashboard
  • Present insights to a mock stakeholder panel
Bonuses
  • 1:1 Resume + LinkedIn Review Session.
  • Interview Prep Bootcamp.
  • Exclusive Masterclasses.
  • Mock Interview with Feedback.
Deliverables
  • Weekly Live Doubt Clearing & Mentor Support.
  • Portfolio-Ready Capstone Project.
  • Data Pipeline Template Pack.
  • Progress Reports.
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Interview Prep
Resume Building
LinkedIn Optimization
Career Support Services
Interview Prep
Interview Practice

Recorded practice with AI feedback on speech, tone, and filler words.

Simulation

Simulated virtual interviews (Zoom, HireVue-style).

Interview Story Bank Creation

Categorize stories by skill, company value, or role.

Crisis Question Coaching

How to answer gaps, firings, career changes etc.

Resume Building
ATS Optimization

Tailor resumes with the right keywords to pass Applicant Tracking Systems..

Role-Specific Customization

Create versions of the resume for different job types or industries.

Professional Formatting & Design 

Clean, modern templates that balance readability and visual appeal. 

Resume Critique & Live Feedback

Detailed feedback sessions with actionable edits. 

Entry-Level & Fresher Resume Creation 

Focused on projects, internships, academic achievements, and potential. 

LinkedIn Optimization
LinkedIn Revamp

Revamp your LinkedIn profile and give it a completely new look.

Headline Transformation for Visibility

Craft attention-grabbing, keyword-optimized headlines that showcase your expertise and make you stand out in searches.

Strategic Content & Engagement Plan

Develop a posting strategy to increase visibility, establish thought leadership, and engage with your network through relevant content sharing and comments. 

Connection Strategy for Networking

Develop a targeted connection approach, including personalized connection requests and outreach templates to grow your network with relevant professionals and recruiters. 

Career Support Services
Networking Concierge

Help clients create and maintain a networking plan.

Job Offer Evaluation Session

Compare compensation, benefits, growth potential, and cultural fit. 

Professional Communication Coaching

Focused on email etiquette, Slack culture, and workplace messaging. 

Job Boards training

Learn how to make the most use of professional job boards.

Entrepreneurial Path Planning

Explore how to turn your skills into a solo business or side hustle.

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Got a Query ??

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Why should I opt for NextGen Coders?

At NextGen Coders, we don’t just teach — we mentor you all the way from basics to job readiness. Our hands-on courses, 1-on-1 mentorship, and personalized career support help you build skills that actually get you hired — all at extremely affordable prices.

What if I miss a class or fall behind?

No need to stress if you miss a session — every class is recorded and available to you anytime, anywhere. You’ll have lifetime access to the recordings so you can learn at your own pace. Plus, our regular doubt-clearing sessions and active support channels ensure you never fall behind, no matter where you start.

Are your courses beginner-friendly?

Absolutely. Most of our programs are designed with beginners in mind — no prior experience needed. We start from scratch and support you with doubt sessions, real examples, and hands-on practice to build your confidence step-by-step. 

We do offer upskilling batches as well.

Are there EMI or student discounts available?

Yes, we’ve got your back with student-friendly pricing, early bird deals, and flexible payment options. Reach out to our team to know about the latest offers and discounts available for you!