Data Science

Practical Data Science teaches students the essentials of data science, including its scientific principles, programming techniques, domain-specific analysis, and ethical and legal considerations, all through online lectures.

Data science is an interdisciplinary field that combines knowledge from areas like the humanities, health sciences, business, science, and law. Professionals across these domains need to master data analysis using math, statistics, and tools like machine learning. This program is designed to teach these essential skills while also addressing the ethical and legal aspects of working with data. As businesses increasingly rely on data for decision-making, the ability to interpret data has become a highly sought-after skill. Data analysts play a key role in helping leaders make informed decisions, optimize practices, reduce costs, and solve critical problems, making them vital to the success of any organization.

The program also offers optional courses, allowing students to explore various data techniques, tools, and challenges across different sectors. It is suitable for individuals from diverse backgrounds, with no prior experience in Computer Science or advanced Mathematics required.

With the growing importance of tools like Data Analysis, Machine Learning, and Data Visualization, learning Data Science is now essential. This program provides professionals with a solid foundation in Data Science, equipping them with the knowledge and hands-on experience to solve problems in various fields. It’s perfect for those starting their careers and eager to develop the skills needed to become successful Data Scientists.

This course introduces you to the fundamentals of data analysis and the broader potential of analytics in business. Through eight modules, you'll explore key concepts such as data collection, storage, organization, analysis, and interpretation, while also applying data analysis techniques to real-world data sets. By the end of the course, you’ll have practical skills that can be directly applied to solve specific business challenges.

Course Topics:

• Data Cleaning and Preparation in Python
• Exploratory Data Analysis (EDA)
• Data Privacy
• Version Control (Git)
• Introduction to Machine Learning Concepts
• Introduction to Natural Language Processing (NLP)
• Introduction to Generative Artificial Intelligence (GenAI)

At the end of this course, you will have completed the following projects, which will be part of your Data Science Portfolio.

Projects to be Completed:

• Time Series Forecasting
• Supervised Machine Learning Model (Classification & Regression)
• Fine-Tuning a Language Model
• AI Chatbot Development

This course is designed for beginners and provides a strong foundation for anyone looking to start a career in data science.

Data Science is being used more and more by professionals in various fields. After completing this training, you will have practical skills and a portfolio to showcase your abilities. The skills you gain from this program will help you be ready for job opportunities in data-focused roles across multiple sectors, including healthcare, finance, law, and more. 

This program is designed for beginners with no prior experience in coding or statistics. It is suitable for people from all backgrounds, and you do not need any previous knowledge of Computer Science or advanced Mathematics to enroll.