Overview

Data Analytics is rapidly transforming industries across India, from IT and healthcare to finance, e-commerce, manufacturing, retail, and business services. As organizations increasingly rely on data to improve decision-making, understand customer behavior, optimize operations, and identify growth opportunities, the demand for skilled data analytics professionals continues to rise.

This Data Analytics Course in India is designed to help learners build a strong understanding of how data is collected, processed, analyzed, and transformed into actionable insights. The program covers key areas such as Excel, SQL, Python, Power BI, Tableau, Data Visualization, and Statistical Analysis, giving learners both foundational knowledge and practical exposure to real-world data analytics applications. With a strong focus on hands-on learning, projects, and industry-relevant tools, the course goes beyond traditional theory-based education. It is structured around practical applications and current industry requirements, making it a suitable option for learners researching the best Data Analytics courses in India and looking to develop job-ready data analytics skills.

Whether you are a student starting your career, a professional looking to upskill, or someone planning a career transition into data and technology, this program provides a structured learning path to understand Data Analytics and apply it to practical business challenges. With guided training, project-based learning, industry-recognized certifications, and FutureSkills Prime & NASSCOM-accredited credentials, learners can build the skills, practical experience, and confidence needed to explore opportunities in India’s growing data-driven ecosystem.

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Course Highlights

  • ✅ Project-Based Data Analytics Learning: Work on practical data analytics projects using real-world datasets, business case studies, data analysis tasks, and problem-solving exercises.

  • ✅ Learn with Industry-Relevant Data Analytics Tools: Build practical experience with Excel, SQL, Python, Power BI, Tableau, Google Sheets, and other tools used for data analysis, visualization, and business intelligence.

  • ✅ Career-Focused Data Analytics Curriculum: Develop in-demand skills across data cleaning, Excel, SQL, Python, statistics, data visualization, dashboards, Power BI, Tableau, and business analytics.

  • ✅ Internship & Industry Exposure: Apply your learning through structured internship opportunities, practical assignments, and real-world data analytics projects designed to strengthen your portfolio.

  • ✅ FutureSkills Prime & NASSCOM Accreditation: Earn industry-recognized certification that provides credible validation of your Data Analytics knowledge and practical skills.

  • Classroom Training Across Major Indian Cities: Learn through instructor-led Data Analytics training at Skillfloor centers in Bangalore, Chennai, Hyderabad, Coimbatore, Ahmedabad, Pune, Delhi, Mumbai, and other locations, with mentor support and interactive sessions.

  • ✅ Dedicated Career & Placement Support: Prepare for Data Analytics career opportunities with resume development, interview preparation, portfolio guidance, and access to relevant job opportunities through Skillfloor’s career support.

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Learn from Industry Experts

Get trained by experienced practitioners who've worked with agencies, brands, and real business growth projects.

Puneeth Kumar U

Puneeth Kumar U

Digital Marketing Manager & Mentor

Nikhil D. Hegde

Nikhil D. Hegde

AI Expert & Mentor | AI Consultant

Nisarg Nikhil

Nisarg Nikhil

AI Expert | Data Science & AI Mentor

Syeda Thasnim Fathima

Syeda Thasnim Fathima

Ethical Hacking Expert | Cyber Security Trainer

Khadija Khatun

Khadija Khatun

Data Science & AI Mentor | Data Scientist

Rahul V

Rahul V

AI/ML & Data Science Professional

Certification

Skillfloor’s Data Analytics Course in India provides learners with an industry-focused certification designed to validate their knowledge and practical skills in data analysis. Upon completing the program, learners can earn a Skillfloor Data Analytics Certificate, along with FutureSkills Prime and NASSCOM-accredited certification, demonstrating their understanding of key areas such as Excel, SQL, Python, Power BI, Tableau, statistics, and data visualization.

The certification is supported by hands-on projects, practical assignments, and internship experience, allowing learners to build a portfolio while developing real-world data analytics skills. With LinkedIn-shareable credentials and dedicated career and placement support, the program helps students, freshers, working professionals, and career switchers showcase their analytics capabilities and prepare for opportunities in India’s growing data-driven industry.

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Government-Recognized
Skill Development Institute | Skillfloor

Skillfloor Certificate

Skillfloor is a Government-Recognized Skill Development Institute under Startup India (DPIIT), offering career-focused certification programs in Analytics, Artificial Intelligence (AI), Data Science, Digital Marketing, SEO, and related domains. As one of India’s largest training institutes, our courses emphasize hands-on projects, expert mentorship, and skills aligned with real hiring needs. With flexible learning options - online, offline, and hybrid, plus 100% scholarships for selective students, we make quality, job-ready education accessible.

Explore the program that aligns with your goals and take the next step with Skillfloor.

Tools Covered

Data analytics tools covered in Skillfloor's Analytics Course including Microsoft Excel, SQL, Python, R Programming, NumPy, Seaborn, Power BI, Looker Studio, Jupyter Notebook, Google Colab, Git, and SAS.tools_covered Data analytics tools covered in Skillfloor's Analytics Course including Microsoft Excel, SQL, Python, R Programming, NumPy, Seaborn, Power BI, Looker Studio, Jupyter Notebook, Google Colab, Git, and SAS.

Top 10 Reasons

  1. Build a Strong Foundation in Data Analytics: Understand core data analytics concepts, data-driven decision-making, business intelligence, and how organizations use data to solve real-world problems.

  2. Master Excel for Data Analysis: Develop practical Excel skills for data cleaning, formulas, pivot tables, lookups, data analysis, and creating professional reports and dashboards.

  3. Learn SQL for Data Analytics: Work with databases and learn SQL queries, filtering, joins, aggregations, subqueries, and data extraction techniques used by analytics professionals.

  4. Develop Python for Data Analytics: Learn Python for data manipulation, analysis, visualization, and working with libraries such as Pandas, NumPy, and Matplotlib.

  5. Master Data Visualization & Dashboards: Create interactive dashboards and meaningful visualizations using tools such as Power BI and Tableau to communicate insights effectively.

  6. Understand Statistics for Data Analysis: Learn essential statistical concepts such as descriptive statistics, probability, correlation, regression, and hypothesis testing to support data-driven decisions.

  7. Learn Data Cleaning & Preparation: Develop skills to identify, clean, transform, and prepare structured and unstructured datasets for accurate and reliable analysis.

  8. Gain Hands-On Project Experience: Apply your learning through practical Data Analytics projects using real-world datasets, business case studies, and industry scenarios.

  9. Get Internship & Industry Exposure: Strengthen your practical understanding through internship opportunities, guided assignments, and exposure to real-world data analytics workflows.

  10. Prepare for Data Analytics Career Opportunities: Build skills relevant to roles such as Data Analyst, Business Analyst, BI Analyst, Reporting Analyst, Data Visualization Analyst, and Junior Data Scientist.

Growing Demand for Data Analytics Professionals in India

Data Analytics is becoming an essential part of India's technology and business landscape. From IT services and fintech to healthcare, e-commerce, retail, manufacturing, logistics, and consulting, organizations are increasingly using data to understand customer behaviour, improve operations, measure performance, and support informed decision-making. This growing reliance on data is creating demand for professionals who can collect, analyse, visualize, and communicate meaningful insights from complex datasets.

The scope of Data Analytics extends beyond basic reporting and spreadsheet analysis. Businesses use Excel, SQL, Python, Power BI, Tableau, statistical analysis, data visualization, and business intelligence for applications such as sales forecasting, customer analysis, performance tracking, financial reporting, market research, and operational optimization. For learners, developing practical skills in these areas can open pathways into a wide range of data-focused roles.

Skillfloor's Data Analytics Course in India is designed to help learners build these skills through instructor-led training, practical assignments, real-world projects, internship exposure, and industry-focused learning. The program also includes certification and career support, helping learners build a portfolio that demonstrates their data analytics capabilities and prepare for opportunities in India's growing data-driven ecosystem.

Skillfloor Offline Centers and Accessibility Across Major Indian Cities

Skillfloor has established its Data Analytics training centers across major cities in India, making it easier for students, freshers, and working professionals to access practical, industry-focused education in Data Analytics. The centers provide instructor-led classroom training, hands-on assignments, real-world projects, and guidance from experienced trainers. Learners can develop practical skills in tools such as Excel, SQL, Python, Power BI, Tableau, and data visualization.

In addition to classroom learning, Skillfloor also offers flexible online training, allowing learners to develop Data Analytics skills from anywhere while receiving structured guidance, project support, and career assistance.

  1. Bangalore: With centers in key locations such as BTM, Marathahalli, and Kudlu Gate, Skillfloor provides a Data Analytics course in Bangalore designed around practical learning and real-world business applications. Learners gain hands-on experience with Excel, SQL, Python, Power BI, Tableau, and data visualization.

  2. Hyderabad: With centers in Madhapur and Kukatpally, Skillfloor offers Data Analytics training aligned with Hyderabad’s growing IT and technology ecosystem. The Data Analytics course in Hyderabad focuses on practical data analysis, visualization, dashboards, and industry-relevant tools.

  3. Chennai: Skillfloor’s Chennai centers in Anna Nagar, Guindy, and Perungudi provide instructor-led Data Analytics training focused on practical implementation. The Data Analytics course in Chennai helps learners work with real-world datasets, build dashboards, and develop data-driven problem-solving skills.

  4. Pune: With centers in Kharadi and Bikaner, Skillfloor offers practical Data Analytics training designed to help learners develop industry-relevant skills. The Data Analytics course in Pune covers data analysis, SQL, Python, visualization, Power BI, and real-world analytics projects.

  5. Ahmedabad: With centers in Maninagar and Navrangpura, Skillfloor provides a professional Data Analytics course in Ahmedabad. The program focuses on data preparation, analysis, visualization, dashboards, and applying analytics to real business scenarios.

  6. Coimbatore: Skillfloor’s centers in Peelamedu, RS Puram, and Gandhipuram offer hands-on Data Analytics training. The Data Analytics course in Coimbatore focuses on practical data analysis, visualization, business intelligence tools, and real-world projects to help learners build career-ready analytics skills.

Data Analytics Course Fees in India

The Data Analytics Course fee at Skillfloor is ₹14,900, making it an accessible option for students, fresh graduates, working professionals, and career switchers looking to develop practical data analytics skills. The program focuses on industry-relevant learning, hands-on projects, internship exposure, certification, and career support, providing learners with a structured pathway to build practical Data Analytics capabilities.

Data Analytics course fees in India vary significantly depending on the course level, duration, institution, learning format, and depth of the curriculum. Learners can choose from short-term online courses and professional certification programs to undergraduate and postgraduate degree programs.

Data Analytics Course Fees by Type

  • Short-Term Data Analytics Courses: Typically range from ₹2,000 to ₹15,000 and generally last 1 to 3 months.

  • Data Analytics Certification Programs: Usually range from ₹10,000 to ₹50,000, with durations of around 2 to 6 months.

  • Professional & Diploma Programs: Can cost approximately ₹50,000 to ₹3,00,000 and may take 6 months to 1 year to complete.

  • Undergraduate Data Analytics Degrees: B.Tech, BCA, B.Sc, and related programs can range from ₹2,00,000 to ₹12,00,000, depending on the institution and program.

  • Postgraduate Data Analytics Degrees: M.Sc., MCA, and related programs may cost between ₹1,00,000 and ₹12,00,000, with typical durations of 1 to 2 years.

Online vs Offline Data Analytics Course Fees

  • Online Data Analytics Courses: Generally offer more affordable and flexible learning options, with fees commonly ranging from ₹10,000 to ₹2,00,000 depending on the course, duration, and institution.

  • Offline Data Analytics Courses: Classroom-based programs can have higher fees due to instructor-led training, infrastructure, labs, and in-person learning facilities. Fees may range from ₹20,000 to ₹3,00,000+ for comprehensive professional and academic programs.

For learners seeking a career-focused Data Analytics course at an affordable fee, Skillfloor offers a practical learning option with ₹14,900 course fees, hands-on projects, internship exposure, industry-focused training, certification, and placement assistance.

Data Analytics Career Opportunities

Data Analytics is creating career opportunities across technology, finance, healthcare, e-commerce, retail, manufacturing, consulting, and other industries. With practical skills in data analysis, Excel, SQL, Python, Power BI, Tableau, statistics, and data visualization, learners can explore a range of analytical and business-focused roles.

 

A Data Analytics course can help learners build practical skills in data analysis, Excel, SQL, Python, Power BI, Tableau, data visualization, and other essential analytics technologies. With hands-on projects, internship exposure, industry-recognized certification, and career support, Skillfloor’s Data Analytics program provides a structured learning path for students, professionals, and career switchers looking to prepare for opportunities in India’s growing data-driven industry.

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Syllabus

- Overview of data analysis and its importance in business

- Types of analytics: Descriptive, Predictive, Prescriptive

- Role of data in decision-making processes

- Introduction to common tools: Tableau, PowerBI, Excel

- Ethical considerations in data collection and analysis

- Data sources: Primary and secondary data

- Data collection methods (surveys, web scraping, databases)

- Data cleaning techniques (handling missing values, outliers)

- Data transformation and feature engineering

- Data storage concepts (structured vs. unstructured data)

- Descriptive statistics: Mean, median, mode

- Data visualization basics (histograms, scatter plots)

- Identifying data patterns and trends

- Outlier detection and handling methods

- Correlation and causation analysis

- Inferential statistics and probability theory

- Hypothesis testing (t-tests, chi-square tests, ANOVA)

- Measures of central tendency and variability

- Confidence intervals and margin of error

- Regression analysis: Linear and logistic regression

- Principles of effective data visualization

- Types of charts and their uses (bar, line, pie, heatmaps)

- Designing dashboards for different audiences

- Interactive visualization techniques

- Data storytelling for impactful presentations

- Time series analysis and forecasting methods

- Clustering and segmentation analysis

- Decision trees and classification techniques

- Introduction to machine learning in business analytics

- Model evaluation and selection

- Basics of SQL for data manipulation

- Creating databases and relationships

- Aggregating data with SQL (GROUP BY, JOIN)

- Data modeling for business intelligence (star and snowflake schemas)

- Case study: Building a business model with SQL

- Connecting and preparing data in Tableau

- Creating basic visualizations (charts, maps)

- Advanced Tableau functions (LOD calculations, table calculations)

- Building interactive dashboards and stories

- Publishing and sharing visualizations on Tableau Server/Online

- Introduction to PowerBI workspace and components

- Data import and transformation with Power Query

- Data modeling and relationships in PowerBI

- Creating and customizing visualizations

- Publishing and collaborating on PowerBI Service

- Selecting a real-world dataset for analysis

- Defining business questions and objectives

- Conducting data analysis and visualization

- Presenting findings in a comprehensive dashboard

- Peer review and feedback on project

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