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Complete Data Analytics Course

Master Industry-Relevant Skills for a Successful Career

Are you ready to upskill in Data Analytics and build a strong foundation for a thriving career ? Our Data Analytics course is designed to equip you with the latest industry tools and techniques, ensuring you stay ahead in the competitive job market.

  • 32 +

    Hours of Live Sessions

  • 24x7

    Doubt Solving Support

  • 4 Days a Week

    9 PM to 11 PM IST

  • Live + Recorded Sessions – Learn at your own pace with interactive live classes and access to recorded lectures.
  • 24/7 Doubt Solving – Get instant solutions to your queries anytime through our dedicated support system.
  • 1:1 Mentorship Support – Personalized guidance from industry experts to help you master Data Analytics.
  • 95 % Placement Assistance – Dedicated career support to land top jobs in Data Analytics.
  • Real-World Projects – Work on industry-relevant projects to gain practical experience.
  • Learn 7+ Essential Tools & Technologies – Master key tools like SQL, Python, Power BI, Excel, and more.
  • ISO Certified Professional Certificate – Boost your resume with an internationally recognized certification.
  • On-Job Support – Get expert guidance even after placement to excel in your role.

Master Industry-Leading Tools for Data Analytics

Gain hands-on experience with powerful tools used by data professionals to analyze, visualize, and interpret data effectively. From data manipulation with Python and SQL to creating insightful dashboards in Power BI and Excel, this program equips you with essential skills to turn raw data into meaningful insights. Whether you're working with big data, automating reports, or building visualizations, you'll be ready to tackle real-world analytics challenges with confidence.

  • Python & Pandas – Data manipulation and analysis
  • SQL – Querying and managing databases
  • Power BI & Excel – Data visualization and reporting
  • Matplotlib & Seaborn – Advanced data visualization
  • Jupyter Notebook & Google Colab – Interactive coding and collaboration

Unlock Your Data Analytics Journey Today!

Thinking about a future in Data Analytics? Whether you're exploring career options, looking for the right course, or just curious about how data can shape industries, we're here to guide you. Fill out the form, and we’ll connect with you at your convenience.

  • Instant Support
  • Personalized Course Guidance
  • Hassle-Free Enrollment & Payment Assistance
  • Career Roadmap & Insights

Get in Touch – Just Fill Out the Form!

Hear It from Our Students – Their Success Speaks for Itself!

Learn from Industry Experts with Personalized Online Mentorship

Program Benefits

A flexible Data Analytics program for students and professionals to grow!

Course Curriculum for Inquisitive Minds

A flexible Data Analytics program for students and professionals to grow!

  • Interactive live classes, 2 days a week
  • 4 months intensive course with on job support
  • 24x7 doubt solving support
  • Ideal for students and professionals
  • 10+ real-world projects and case studies

Master Data Analytics with Python, SQL, and Power BI to uncover insights and make data-driven decisions. This course is designed for both students and professionals to excel in a data-driven world.

Python Fundamentals

  • Introduction to Python
  • Data Types and Variables
  • Operators and Expressions
  • Control Flow (if-else, loops)
  • Functions and Recursion
  • Object-Oriented Programming (OOP)
  • Exception Handling

Data Structures & File Handling

  • Lists and Tuples
  • Dictionaries and Sets
  • Reading and Writing Files
  • Working with CSV and JSON
  • Using Regular Expressions

Python Libraries (NumPy)

  • Arrays and Array Operations
  • Indexing and Slicing
  • Broadcasting
  • Mathematical Operations

Python Libraries (Pandas)

  • DataFrames and Series
  • Data Cleaning and Manipulation
  • Handling Missing Values
  • Merging and Joining

Python Libraries (Matplotlib)

  • Data Visualization
  • Line Charts, Bar Graphs, and Histograms
  • Heatmaps and Pair Plots
Outcome

By the end of this module, you will confidently analyze data using Python, NumPy, and Pandas. You will be able to manipulate datasets, extract insights, and lay a strong foundation for data analysis.

SQL

  • Introduction to Database
  • Integrity Constraints
  • SQL Commands
  • SQL Joins
  • Database Schema Operations
  • Data Retrieval & Selection
  • Filtering data in SQL
  • Operators & Logical Functions
  • Subqueries
  • Aggregations & Window Functions
  • Common Table Expressions (CTE)
  • Database Objects
  • Normalization

Power BI

  • Introduction to Power BI
  • Data Sources & Connectivity
  • Data Transformation
  • Data Modeling
  • DAX (Data Analysis Expressions)
  • Creating Visualizations
  • Advanced Visualization Techniques
  • Publishing & Sharing Dashboards
Outcome

By the end of this module, you will confidently analyze and visualize data using SQL and Power BI, gaining the skills to uncover insights, make data-driven decisions, and excel in interviews.

Build Real-Time Projects to be Industry-Ready

Our special crafted capstone projects which help you to learn domain knowledge that can give you all around knowledge

Airlines Data Analysis

Airlines Data Analysis

Airlines data analysis involves examining large sets of flight-related data to uncover meaningful trends, assess airline performance, and gain insights into customer behavior.

  • Pandas
  • Numpy
  • Matplotlib/Seaborn
Electric Vehicles Sales Analysis

Electric Vehicles Sales Analysis

Explore electric vehicle sales, regional expansion, and market segments to gain insights into customer preferences and evolving industry trends.

  • Numpy
  • Pandas
  • Matplotlib/Seaborn/Plotly
  • statsmodels
Retail Sales Analysis

Retail Sales Analysis

Unlock retail sales data to discover trends, customer behavior, inventory efficiency, and regional dynamics, empowering smarter business strategies.

  • SQL
  • Data Aggregations
  • Filtering
  • Window Functions
  • Joins
Sports Statistics Database

Sports Statistics Database

Leverage sports data to gain insights into player performance, team dynamics, and match results, boosting strategies and fan engagement.

  • Statistical Analysis
  • Date Functions
  • Joins
  • Window Functions
  • Subqueries
Healthcare Data Management

Healthcare Data Management

Analyze healthcare data to identify trends in patient care, treatment outcomes, and costs for better hospital management.

  • Data Cleaning
  • Data Transformations
  • Aggregations
  • Date Functions
  • Patients health analysis
Video game data analysis

Video game data analysis

Dive into gaming insights with an interactive dashboard, uncovering hidden patterns in sales, player feedback, and market performance.

  • Data Cleaning
  • Transformation and Aggregation
  • Subqueries
  • Player Feedback & Reviews Analysis
Financial Performance Dashboard

Financial Performance Dashboard

Imagine a dynamic, interactive dashboard where you can track and analyze all key financial metrics in real-time. This dashboard would provide an intuitive.

  • Power Query Editor
  • DAX Queries
  • Data Filtering
  • Data Modelling
  • KPI’s Analysis
State Tourism Data Analysis

State Tourism Data Analysis

Explore state tourism data to reveal trends in visitor profiles, travel habits, and popular destinations, fueling smarter strategies and boosting tourism.

  • Data Importing & Transformation
  • Modelling Custom Views
  • Data Filtering

Career Assistance

Secure placements in top companies by mastering the latest Data Analytics skills, supported by real-world projects, hands-on mentorship, and expert career guidance.

  • 95%

    Placement Rate within 3 Months

  • 300+

    Hiring Partners

Placement Assistance

Get support with resume building, interview prep, and job referrals to land a Data Analytics role.

Data Analytics Portfolio Building

Showcase industry projects in Power BI, SQL & Python to engage recruiters.

Interview Skills Development

Strengthen communication and problem-solving for technical and behavioral interviews.

Career Advancement Support

Get access to industry connections and career resources to enhance your job opportunities.

Professionals from Leading Tech companies

Learn from Industry Experts

Gain real-world insights from top professionals and experienced mentors to become job-ready.

Saurabh Moharikar

Sr.Data Analyst 17+ Years NIT Raipur

Avinash

Data Science Lead , IIT kgp & IIM Calcutta

iSkills by iQuanta Scholarship Test

Ace the Test, Earn a Scholarship, and Kickstart Your Data Analytics Journey!

Who Is This For?

Whether you're starting out or a professional looking to upskill, transition careers, or deepen your expertise, this program is designed to help you grow and succeed in the tech industry.

Who Should Enroll?

Aspiring Data Analysts, Business Analysts, and career switchers in Data Analytics.

Educational Background

A Bachelor’s or Master’s degree in technology, business, mathematics, or related fields is beneficial but not mandatory.

Experience Requirement

No experience required. Designed for both beginners and professionals to master Data Analytics.

Program Objective

Gain hands-on experience in data analysis, visualization, and business intelligence with industry-leading tools.

Become a Mentor

Join as a mentor to guide future tech professionals and stay ahead in emerging technologies.

Let’s Get Started

Our application process is simple and structured to guide you every step of the way.

01

Initial Consultation

A dedicated expert will connect with you to understand your goals and provide all the details about the program.

02

Eligibility Form

Fill out a quick form to ensure you meet the basic requirements for the program.

03

Offer Letter

Once your eligibility is confirmed, we roll out the offer letter with all course details and payment options.

04

Enrollment Process

After accepting the offer, complete your enrollment with flexible payment options.

Course Fee

With flexible EMI options, financing, and UPI, you can enroll in any course of your choice.

Start as low as 2083/ month

Total fees of the program – ₹24,999
FAQs

We've Got the Answers

You don’t need any prior experience in data analytics to enroll. This course is designed for beginners as well as professionals looking to upskill. However, having a strong analytical mindset, problem-solving skills, and basic familiarity with Excel or programming can be beneficial. We guide you through everything step by step to ensure a smooth learning experience.

Yes! Upon successful completion of the course, you will receive an ISO certified professional certificate. This certificate validates your knowledge and skills, making it a valuable addition to your resume and LinkedIn profile. Many recruiters consider certifications as proof of hands-on expertise, giving you an edge in the job market.

We understand that life can get busy, so all our sessions are recorded and made available for you to access at your convenience. Whether you miss a class due to personal commitments or want to revisit a topic for better understanding, you’ll have unlimited access to course materials, ensuring that you never fall behind.

Absolutely! Data analytics is an interdisciplinary field that welcomes professionals from diverse backgrounds. Many successful data analysts started their careers in fields like engineering, finance, business, or even humanities. This course covers everything from the basics, ensuring that even those without a technical background can grasp the concepts and apply them effectively in real-world scenarios.

Not at all! While a background in computer science can be helpful, it is not a requirement. We firmly believe that passion, curiosity, and problem-solving skills are far more important than having a specific degree. This course is structured to help learners with varying levels of technical expertise, making it accessible to anyone willing to learn.

Yes, you can! We understand that not everyone has a background in coding or advanced mathematics. That’s why we start from the fundamentals, gradually introducing coding (Python, SQL) and mathematical concepts (statistics, probability, and linear algebra) in a simplified and beginner-friendly way. By the end of the course, you'll gain confidence in handling data, writing scripts, and analyzing complex datasets.

Real-world projects are a crucial part of data analytics training because they help bridge the gap between theoretical knowledge and practical application. Our course includes hands-on projects that simulate actual industry scenarios, allowing you to work with real datasets, perform data cleaning, build dashboards, and derive meaningful insights. These projects not only strengthen your portfolio but also prepare you to tackle challenges in real job roles with confidence.

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