Data Science (With Internship Certificate , Mentor-Led Professional Training)

The Data Science – Beginner to Intermediate course is a career-oriented training program designed to equip learners with practical data analysis, data visualization, and problem-solving skills using industry-standard tools and techniques.

This course is ideal for students, fresh graduates, and working professionals who want to build a strong foundation in data science and analytics and transition into high-demand roles such as Data Analyst, Data Scientist, Business Analyst, and Machine Learning Associate.

The program begins with a clear introduction to data science fundamentals, explaining how data is collected, processed, analyzed, and transformed into actionable insights. Learners gain hands-on exposure to working with structured and semi-structured data, understanding real-world business problems, and applying analytical thinking.

A strong emphasis is placed on data handling and analysis, including data cleaning, transformation, and exploration. Students learn to work with datasets, manage missing values, detect patterns, and generate meaningful insights. The course also covers data visualization techniques, enabling learners to present data using charts, graphs, and dashboards for effective decision-making.

This Data Science course follows a self-paced yet mentor-led model, allowing learners to study flexibly while receiving expert support and guidance. Each module includes:

• High-quality video lectures with subtitles

• Detailed notes for every lecture

• 10 quiz questions per lecture to reinforce understanding and retention

Upon successful completion, learners receive both a Course Completion Certificate and an Internship Completion Certificate, adding significant value to their resume and improving employability.

By the end of the course, learners will have the confidence to analyze real-world datasets, derive insights, and apply data science techniques across industries such as IT, finance, healthcare, marketing, and e-commerce.

What You Will Learn

• Fundamentals of Data Science and Analytics

• Data collection, cleaning, and preprocessing

• Exploratory Data Analysis (EDA)

• Data visualization and storytelling

• Practical problem-solving using data

• Industry-relevant workflows and best practices

Learning Outcomes

By the end of this course, learners will be able to:

• Understand core concepts of data science and analytics

• Clean, process, and analyze real-world datasets

• Visualize data for insights and business decisions

• Apply analytical thinking to solve real problems

• Build a strong foundation for advanced data science and machine learning