The analytics course offered by SkillFloor provides comprehensive training in data analysis and business analytics. Geared towards aspiring data analysts and business analysts, the curriculum covers a wide range of topics essential for success in these roles. Students will delve into techniques for data collection, cleaning, and analysis, as well as learn how to interpret and visualize data effectively. The course also includes modules on statistical analysis, predictive modelling, and data-driven decision-making, equipping learners with the skills needed to derive valuable insights from complex datasets. Whether pursuing a career as a data analyst or a business analyst, this course offers a solid foundation in data analytics that is essential for success in today's data-driven world.

With a focus on practical skills and real-world applications, the data analyst and business analyst courses provided by SkillFloor offer a dynamic learning experience. Participants will gain hands-on experience using popular analytics tools and software, honing their ability to manipulate data and extract meaningful insights. Through case studies and projects, students will have the opportunity to apply their knowledge to solve business challenges and make data-driven recommendations. Whether individuals are looking to transition into a career in data analytics or enhance their existing skill set, these courses provide a comprehensive understanding of data analysis and business analytics concepts, empowering learners to excel in a competitive job market.

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Course Highlights

  • Introduction to Analytics: Offers a foundational understanding of what analytics entails, including basic concepts and the significance of data analysis in decision-making.

  • Data Collection Methods: Covers various data collection techniques, including qualitative and quantitative methods, and the importance of ethical data collection.

  • Data Cleaning and Preparation: Discusses the steps for preparing data for analysis, which involves cleaning data, handling missing values, and ensuring data quality.

  • Statistical Analysis Basics: Introduces fundamental statistical concepts and techniques used to derive insights from data, including descriptive and inferential statistics.

  • Introduction to Data Visualization: Explores the principles of effectively presenting data through visual means, such as charts and graphs, to facilitate understanding and decision-making.

  • Using Excel for Analytics: Demonstrates how to use Excel, a common tool for data analysis, including functions, formulas, and pivot tables for analyzing data.

  • Introduction to SQL for Data Analysis: Provides basics on using SQL (Structured Query Language) to retrieve, filter, and manipulate data from databases.

  • Basics of Predictive Analytics: Offers an insight into predictive analytics, including simple forecasting models, to anticipate future trends based on historical data.

  • Introduction to Data Analytics Tools: Gives an overview of various analytics tools beyond Excel and SQL, possibly including Python, R, or specific analytics software.

  • Practical Applications of Analytics: Presents case studies or real-world examples illustrating how analytics can solve business problems, improve decision-making, and drive strategy.



Completing this Analytics Course certifies your proficiency in data analysis, statistical methods, and the use of key analytics tools. This certification demonstrates your ability to transform raw data into actionable insights, enhancing decision-making processes in various business contexts. It signifies your understanding of data visualization, predictive modeling, and data-driven strategy development, equipping you with the skills necessary to excel in analytics. This credential is a testament to your dedication to continuous learning and your commitment to leveraging data for strategic advantage.

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Internship Certificate


Completing this Analytics Course certifies your proficiency in data analysis, statistical methods, and essential analytics tools. This certification shows you can transform raw data into actionable insights, improving decision-making in various business contexts. It indicates your understanding of data visualization, predictive modelling, and data-driven strategy development, providing you with the skills to excel in analytics. This credential reflects your dedication to continuous learning and commitment to leveraging data for strategic advantage.

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.




This course provides a foundational understanding of data analysis techniques and tools necessary for entry-level positions in data analysis. It covers essential concepts such as data manipulation, visualization, and interpretation.

The Certified Business Analytics Associate course focuses on applying data analysis techniques to solve business problems. It covers topics such as predictive analytics, decision modeling, and data-driven decision-making.

While there are no strict prerequisites, having a basic understanding of statistics and familiarity with Excel can be beneficial. Each course may have specific requirements outlined in the course description.

These certifications demonstrate your proficiency in data analysis, which is highly sought after in various industries. They can enhance your job prospects, open up opportunities for advancement, and increase your earning potential in roles related to data analysis and business intelligence.

Yes, upon successful completion of each course, you will receive a certification that validates your skills and knowledge in data analysis, business analytics, or the respective tool (Tableau or Power BI).

the courses incorporate practical projects and real-world case studies to provide participants with valuable hands-on experience and demonstrate how data analysis techniques are applied in various industries.

Skillfloor's certifications are recognized by employers in the field of data analytics and can enhance participants' credentials when applying for jobs or seeking career advancement opportunities.

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