Overview

The Data Analytics Course in India offered by Skillfloor provides comprehensive training in data analysis and business analytics, designed for aspiring data analysts and business analysts. The curriculum covers essential topics such as data collection, data cleaning, data analysis, and data visualization, helping learners understand how to interpret and present data effectively. It also includes key modules on statistical analysis, predictive modeling, and data-driven decision-making, enabling students to extract valuable insights from complex datasets and build a strong foundation for a successful career in today’s data-driven world.

With a strong focus on practical learning and real-world applications, this Data Analyst Course in India offers a hands-on and engaging experience. Learners gain practical exposure to industry-standard analytics tools and software, enhancing their ability to handle data and generate meaningful insights. Through case studies and live projects, participants apply their knowledge to solve real business problems and make data-driven decisions. Whether you are starting a career in data analytics or upgrading your existing skills, this course equips you with the knowledge and confidence to succeed in a competitive job market.

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Course Highlights

  • Internship for Practical Experience: Gain hands-on exposure through real datasets, live analytics projects, and an internship designed to help you apply data analysis techniques in real business scenarios.

  • Government-Recognized Institution: Skillfloor is officially recognized, ensuring your data analytics training and certification are credible and valued across industries and employers.

  • 100% Placement Assistance: Receive complete career support after course completion, including resume building, mock interviews, portfolio guidance, and job referrals through Skillfloor’s hiring network.

  • Affordable Course Fee – Starts from ₹14,900: Start your data analytics learning journey without high costs. Flexible payment options make it easier for students and professionals to begin immediately.

  • FutureSkills Prime & NASSCOM Accredited: Earn a certification accredited by FutureSkills Prime and NASSCOM, validating your analytics skills with one of the most trusted credentials in India’s technology ecosystem.

  • Offline Classroom Training Available Across India: Attend instructor-led offline classes at Skillfloor centers in major cities like Bangalore, Chennai, Hyderabad, Coimbatore, Ahmedabad, Pune, Delhi, Mumbai, and more. Experience interactive learning, real-time data analysis practice, and direct mentor guidance in a classroom environment.

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Certification

On completing the Data Analytics Course in India at Skillfloor, you will earn a Data Analytics Certification accredited by FutureSkills Prime and NASSCOM. This government-recognized certification highlights your professional skills and helps you stand out in the competitive job market across India. It validates your practical expertise in Data Visualization, Statistical Analysis, and industry-leading tools such as Tableau, Power BI, Excel, Python, and SQL. The certification confirms your ability to interpret complex datasets, extract meaningful insights, and support data-driven business decisions. With Skillfloor’s recognized credentials, you can confidently apply for data analytics roles in top companies across India or accelerate your career growth in the analytics field. This certification strengthens your resume and demonstrates your capability to work on real-world data projects and deliver measurable business impact.

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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

Tableau, Power BI, Pandas, SQL, TensorFlow and Keras, Matplotlib, GitHub and RStudiotools_covered Tableau, Power BI, Pandas, SQL, TensorFlow and Keras, Matplotlib, GitHub and RStudio

Top 10 Reasons

  1. Data-driven Decision Making: By teaching you how to analyse data effectively, our analytics course helps you make well-informed decisions and develop strategic plans.

  2. Career Possibilities: Gaining expertise in analytics can lead to a variety of employment options in disciplines like financial analysis, business intelligence, data science, and marketing analytics.

  3. Desired Proficiencies: Acquire expertise in data analysis tools and methodologies, which will increase your marketability to employers in the data-driven economy of today.

  4. Learning:  how to extract useful information from data to spot patterns, streamline procedures, and forecast outcomes that will propel your company's expansion and success.

  5. Competitive advantage: Gain a competitive advantage in the labor market by becoming an expert in analytics, a skill that is becoming more and more in demand across a range of sectors and businesses.

  6. Problem-solving: Developing good problem-solving abilities involves analysing complex datasets and coming up with data-driven insights-based answers to business problems.

  7. Versatility: Because analytics abilities are transferable to other domains, you can explore job prospects in a wide range of industries, including technology, healthcare, finance, and retail.

  8. Career: Enrol in an area that is always changing to take advantage of the many chances for continuing education and career advancement.

  9. Skills: The development of quantitative skills includes using modeling approaches, statistical procedures, and algorithms to extract useful information from data.

  10. Investing in skills: necessary for the workplace of the future is a good way to future-proof your business since more and more companies are depending on data analysis to spur innovation, productivity, and competitiveness.

Role of Data Analytics in Indian Businesses

  • Data analytics helps Indian businesses make informed decisions by analyzing large volumes of data generated from over 800 million internet users, improving efficiency and strategic planning.

  • Businesses in India invest heavily in analytics tools and data-driven strategies, contributing to smarter marketing, operations, and customer experience management.

  • Companies use data analytics to understand customer behavior, enabling personalized experiences and improving customer retention across industries.

  • With India’s digital economy growing rapidly, analytics supports e-commerce businesses in optimizing pricing, inventory, and demand forecasting, driving higher profitability.

  • Data analytics enables precise decision-making using real-time insights, helping businesses improve performance and increase efficiency by up to 40–50%.

  • Small and medium businesses leverage analytics to identify growth opportunities, reduce risks, and compete effectively with larger organizations.

  • From finance to healthcare, data analytics plays a key role in improving outcomes, with organizations increasingly relying on data-driven strategies for measurable results.

Data Analytics Strategy and Planning for Students

  1. Data Collection Understanding: Learning how to gather data from multiple sources helps students understand the foundation of analytics. Proper data collection ensures accurate and meaningful analysis.

  2. Data Cleaning & Preparation: Students learn how to clean and organize raw data, removing errors and inconsistencies. This step is crucial for ensuring reliable insights and better analysis outcomes.

  3. Tool Selection & Usage: Choosing the right tools, like Excel, Python, SQL, or BI tools, helps students perform analysis efficiently. This builds the technical skills required in real-world projects.

  4. Exploratory Data Analysis (EDA): Understanding patterns, trends, and relationships in data helps students gain insights. EDA improves problem-solving and analytical thinking skills.

  5. Data Visualization Techniques: Creating charts and dashboards helps communicate insights effectively. Students learn how to present data in a clear and impactful way.

  6. Performance Metrics & KPIs: Tracking key metrics helps students evaluate outcomes and measure success. Learning KPIs builds a strong foundation in business analytics.

  7. Data-Driven Decision Making: Students learn how to convert insights into actionable decisions. This skill is essential for solving real-world business problems using data.

Skillfloor Offline Centers and Accessibility Across Major Indian Cities

Skillfloor has established its data analytics training centers in major cities across India, making it convenient for students and working professionals to access high-quality education. Each center is equipped with modern classrooms, practical labs, and experienced trainers who guide learners through real-world analytics concepts. In addition to classroom learning, Skillfloor also offers online sessions for those who cannot attend in person, ensuring flexible and accessible learning options for everyone.

  1. Bangalore: With learning centers in key areas like BTM, Marathahalli, and Kudlu Gate, Skillfloor offers industry-aligned training designed for Bangalore’s competitive tech and analytics ecosystem. Our Data Analytics course in Bangalore focuses on practical skills, real-time datasets, and tools like Excel, SQL, Python, and Power BI. Learners gain hands-on experience and industry-relevant knowledge to build strong career opportunities in data-driven roles.

  2. Hyderabad: With centers in Madhapur and Kukatpally, Skillfloor provides industry-focused training tailored to Hyderabad’s rapidly growing IT and analytics landscape. Our Data Analytics course in Hyderabad emphasizes practical learning, real-time data analysis, and job-ready skills aligned with current industry demands. Learners gain experience with analytics tools and techniques that help them build successful careers in data analytics.

  3. Chennai: In Chennai, Skillfloor offers specialized training with centers in Anna Nagar, Guindy, and Perungudi. The Data Analytics course in Chennai equips learners with hands-on experience, modern analytics tools, and career-ready skills needed to work with real business data and make informed decisions in today’s data-driven industries.

  4. Pune: In Pune, Skillfloor provides advanced analytics training with centers in Kharadi and Bikaner. The Data Analytics course in Pune helps learners develop practical skills in data visualization, reporting, and statistical analysis while working with industry-relevant tools and real-world datasets.

  5. Ahmedabad: In Ahmedabad, Skillfloor offers professional data analytics training with centers in Maninagar and Navrangpura. The Data Analytics course in Ahmedabad focuses on practical projects, data interpretation, and analytics tools that prepare learners to solve real business problems using data-driven insights.

  6. Coimbatore: Skillfloor’s Coimbatore centers in Peelamedu, RS Puram, and Gandhipuram provide learners with practical analytics training. The Data Analytics course in Coimbatore focuses on working with real datasets, building dashboards, and mastering the analytics tools and techniques required for a successful career in data analytics.

Data Analytics Course Fee Structure in India

  • Basic/Short-Term Courses (1–3 Months): ₹15,000–₹40,000

  • Advanced Certificate Courses (3–6 Months): ₹30,000–₹180,000

  • Post-Graduate/Diploma Programs (6–12 Months): ₹120,000–₹600,000

  • Executive/Master’s Programs (12–18 Months): ₹400,000–₹900,000

Skillfloor Course Fee Structure:

Skillfloor’s Data Analytics course fee in Hyderabad is competitively priced at ₹14,900, offering certified professional programs with hands-on projects, live training, internship opportunities, and dedicated career support—making it a cost-effective choice for students and working professionals.

  • Certified Data Analysis Professional: ₹14,900 (discounted from ₹60,000) — 2 months + 1-month internship.

  • Certified Business Analytics Professional: ₹14,900 (discounted from ₹60,000) — 2 months + 1-month internship.

  • Certified Power BI Analyst: ₹14,900 (discounted from ₹60,000) — 2 months + 1-month internship.

  • Certified Tableau Analyst: ₹14,900 (discounted from ₹60,000) — 2 months + 1-month internship.

Skillfloor Learning Centers in Top Indian Cities

Skillfloor has established strong learning centers across major Indian cities to make industry-focused data analytics training easily accessible to students. With a commitment to practical learning and career growth, Skillfloor continues to expand its presence nationwide, empowering learners with job-ready data analytics skills.

Skillfloor Offline Learning Centers in Karnataka

Skillfloor Bangalore

Address: Room No. 3, 2nd Floor, C-25 Bajrang House, 7th Mile, Hosur Rd, Near Kudlu Gate, Bengaluru, Karnataka 560068, India.

Skillfloor Marathahalli

Address: 1st Floor, 761/1, Outer Ring Rd, near KLM Mall, Marathahalli Village, Marathahalli, Bengaluru, Karnataka 560037.

Skillfloor Offline Learning Centers in Tamil Nadu

Skillfloor Chennai

Address: A.J. COMPLEX, 1/2, Anna Arch Rd, AG Block, River View Colony, Anna Nagar, Chennai, Tamil Nadu 600040, India.

Skillfloor Coimbatore

Address: 1326/1, 2nd Floor, Avinashi Rd, Opp. to Nagerkovil Arya Bhavan Restaurant, Peelamedu, Masakalipalayam, Coimbatore, Tamil Nadu 641004, India.

Skillfloor Offline Learning Centers in Maharashtra

Skillfloor Pune

Address: Office number 16, Second Floor, B Wing, City Vista, Downtown Rd, Ashoka Nagar, Kharadi, Pune, Maharashtra 411014.

Skillfloor Offline Learning Centers in Telangana

Skillfloor Hyderabad

Address: 313, 4th Floor, Near Ayyappa Society, SBH Officers Colony, Mega Hills, Madhapur, Hyderabad, Telangana 500081, India.

Skillfloor Kukatpally - Hyderabad

Address: Choudhary Arcade, 4nd floor, opp JNTU University gate, Kukatpally Housing Board Colony, Dharma Reddy Colony Phase I, Hyderabad, Telangana 500072.

Skillfloor Offline Learning Centers in Gujarat

Skillfloor Ahmedabad

Address: Unit No.1 to 5, 7th Floor, Manor Maxx, Commerce College Rd, Near St. Xaviers College, Vasant Vihar, Navrangpura, Ahmedabad, Gujarat 380009, India.

Skillfloor is headquartered in Bangalore, serving as the central hub for operations, curriculum development, corporate partnerships, and placement support across India. The Bangalore head office drives Skillfloor’s mission of delivering industry-focused, job-oriented data analytics training programs designed to bridge the gap between academic learning and real-world data skills.

With expanding centers in Chennai, Pune, Hyderabad, Coimbatore, and Ahmedabad, Skillfloor ensures students across major cities gain access to practical analytics training, real-world datasets, career mentorship, and strong placement assistance. Each location follows the same standardized training model, emphasizing hands-on learning, analytics tools, data-driven decision making, and industry-recognized certification. Through its growing presence, Skillfloor continues to empower learners with job-ready data analytics skills, helping them build successful careers in today’s data-driven job market.

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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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