Data Analytics is the process of analyzing raw data to find trends and answer questions. It involves using statistical and computational techniques to extract insights from structured and unstructured data.

This course is ideal for beginners who want to enter the field of Data Analytics, professionals looking to transition into data-related roles, or anyone seeking to enhance their data-driven decision-making skills.

No. You Dont Need any background in programming.

No prior experience in Data Analytics is required. The course starts with fundamental concepts, although basic knowledge of statistics or programming could be helpful.

• The course covers:

  • Fundamentals of Data Analytics
  • Data cleaning and preprocessing
  • Exploratory data analysis (EDA)
  • Visualization techniques
  • Statistical analysis
  • Introduction to machine learning models
  • Tools like Excel, SQL, Python, R, and Power BI

The Course Duration is 4 months.

There are no strict prerequisites. However, a basic understanding of mathematics, especially statistics, will be beneficial.

You will gain hands-on experience with tools such as:

• Excel for data manipulation
• SQL for database queries
• Python or R for data analysis
• Tableau or Power BI for data visualization

Yes, the course includes real-world projects and case studies to apply the knowledge you’ve gained and build a portfolio for potential employers.

Yes, upon successfully completing the course, you will receive a Data Analytics Certification from Leanwisdom & certification from NASSCOM after passing the exam.

Yes, the course is available online, either as live instructor-led sessions or self-paced modules to fit your schedule.

Our dedicated support team, along with course mentors, are available to help you via email, chat, or live sessions. You can also access peer discussions and forums.

After completing the course, you can pursue roles such as:

• Data Analyst
• Business Analyst
• Data Scientist (entry level)
• BI Analyst
• Marketing Analyst

Data Analytics focuses on analyzing existing datasets to find actionable insights, while Data Science involves creating models and algorithms to make predictions or automate decisions. Data Science usually incorporates more advanced machine learning techniques.

Yes, we offer career services including resume building, interview preparation, and job placement assistance to help you secure a position in the data analytics field.