Scala for Data Science

Dr. Mahendra Kanojia — Sun, 30 Aug 2026 12:10:44 +0000

Scala for Data Science introduces the use of Scala for data analysis and machine learning. It covers Scala basics, data processing, statistical calculations, visualization, and machine learning techniques. The subject develops analytical and problem-solving skills through practical applications and provides a foundation for data-driven solutions.

Course Information

Difficulty: Intermediate, University

Tracks: SYCS

Categories: Bachelor of Engineering : CS and IT, Beginner, BSc Computer Science, BSc IT

Tags: BSc Computer Science, Practical

Course Instructors

Dr. Mahendra Kanojia Author

Dr. Mahendra Kanojia (Ph.D., M.Phil., Computer Science) Dr. Kanojia is an AI research scientist and academic leader with 18years of experience. He serves as Principal and HOD of Computer Science at Sheth L.U.J. & Sir M.V. College, Mumbai, and founded the e-learning platform rocktheit.com., He specializes in AI, Machine Learning, chatbots, and advanced applications like autonomous oncology. His hands-on, accessible approach to technical training is driven by a single belief: “If humans can, technology can.”

Simran Shaikh Instructor Assistant

Simran Shaikh is a B.Sc. Computer Science student with a strong academic and professional interest in Artificial Intelligence, Machine Learning, Web Development, Software Engineering, and Data Analytics. She currently serves as an Instructor Assistant for this course, supporting students in their academic and practical learning. She is also engaged in developing technology-driven projects using Python, React, JavaScript, databases, and APIs, with a focus on building practical and effective software solutions.

Aditya Rana Instructor Assistant

I am a Computer Science student focused on programming, data science, and software development. I work with Python, Scala, and Java, and enjoy building practical projects involving data analysis, machine learning, and application development. As an Instructor Assistant for the Scala for Data Science course, I contribute to coding, technical documentation, and practical learning resources.

Free

FREE

Lesson1:Introduction to Scala Environment Setup and Program Development

Introduction to Scala Environment Setup and Program Development

New Section

This section does not have any lessons.

Lesson 2: Calculate mean, median, and mode of a list of numbers. Implement basic statistical calculations using Scala collections

Calculate mean, median, and mode of a list of numbers. Implement basic statistical calculations using Scala collections

Lesson 3: Calculate variance and standard deviation of a list of numbers. Implement basic statistical calculations using Scala

Calculate variance and standard deviation of a list of numbers. Implement basic statistical calculations using Scala

Lesson 4: Create a dense vector using Breeze and calculate its sum, mean, and dot product with another vector

Create a dense vector using Breeze and calculate its sum, mean, and dot product with another vector

Lesson 5: Generate a random matrix using Breeze and compute its transpose and determinant

Generate a random matrix using Breeze and compute its transpose and determinant

Lesson 17: Find the correlation between two lists of numbers. Implement the formula for Pearson correlation coefficient.

Find the correlation between two lists of numbers. Implement the formula for Pearson correlation coefficient.

Lesson 18: Calculate the moving average of a time series data using Scala collections.

Calculate the moving average of a time series data using Scala collections.

Lesson 19: Write a program to compute frequency distribution and cumulative frequency of a dataset.

Write a program to compute frequency distribution and cumulative frequency of a dataset.

Lesson 21: Implement linear regression using Breeze. Fit a model to a small dataset and predict a value.

Implement linear regression using Breeze. Fit a model to a small dataset and predict a value.

Lesson 22: Perform logistic regression using Breeze. Classify a dataset with binary labels.

Perform logistic regression using Breeze. Classify a dataset with binary labels.

Data Visualization with Tableau

Dr. Mahendra Kanojia — Wed, 15 Jul 2026 16:44:32 +0000

Data Visualization with Tableau is the process of transforming raw data into interactive charts, graphs, dashboards, and reports using business intelligence tools like Tableau. These tools help users analyze data, identify trends and patterns, monitor key performance indicators (KPIs), and make informed business decisions. By presenting complex data in a visual and easy-to-understand format, they enable organizations to gain valuable insights and communicate information effectively.

Course Instructors

Dr. Mahendra Kanojia Author

Selvesh Nadar Assistant Instructor

Selvesh is a B.Sc. Computer Science student with a strong interest in Artificial Intelligence, Machine Learning, Web Development, Software Development and Data Analytics. He is serving as an Instructor Assistant for this specific course, supporting students in their learning and practical activities. He is also focused on building practical projects using Python, React, JavaScript, databases, and APIs to develop useful technology solutions.

Mithil Kadam Video Editor

Mithil Kadam is a Computer Science student from Mumbai, Maharashtra, India, currently pursuing his Third Year Bachelor of Science in Computer Science (TYBSc/ TYCS). He has a strong interest in cybersecurity, networking, programming, web development, and emerging technologies, and he combines academic learning with practical, project-based experimentation.

SYCS – Rock The IT

Scala for Data Science

Course Information

Course Instructors

Free

Lesson1:Introduction to Scala Environment Setup and Program Development

New Section

Lesson 2: Calculate mean, median, and mode of a list of numbers. Implement basic statistical calculations using Scala collections

Lesson 3: Calculate variance and standard deviation of a list of numbers. Implement basic statistical calculations using Scala

Lesson 4: Create a dense vector using Breeze and calculate its sum, mean, and dot product with another vector

Lesson 5: Generate a random matrix using Breeze and compute its transpose and determinant

Lesson 17: Find the correlation between two lists of numbers. Implement the formula for Pearson correlation coefficient.

Lesson 18: Calculate the moving average of a time series data using Scala collections.

Lesson 19: Write a program to compute frequency distribution and cumulative frequency of a dataset.

Lesson 21: Implement linear regression using Breeze. Fit a model to a small dataset and predict a value.

Lesson 22: Perform logistic regression using Breeze. Classify a dataset with binary labels.

Data Visualization with Tableau

Course Information

Course Instructors

Free

Installation of Tableau Desktop

Tableau Session

Getting Started with Tableau and Building basic visualizations

Working with Data Sources and Data Preparation in Tableau

Creating Advanced Visualization in Tableau

Lesson 4: Performing Data Analysis using Calculations in Tableau

Lesson 5: Analyzing Data using Table Calculations

Lesson 6: Designing Effective and Visually Appealing Dashboards

Lesson 7: Creating Interactive Dashboards and Data Stories

Lesson 8: Performing Advanced Analytics using Trends, Clustering, and Forecasting

Lesson 9: Cleaning and Structuring Data for Analysis

Lesson 10: Data Preparation and Transformation usingTableau Prep

Lesson 11: Implementing Advanced Visualization Techniques and Customizations.

Lesson 12: Sharing, Publishing, and Presenting Data Visualizations