Data Visualisation (Using Tableau and Power BI)
This course is an excellent source for learning about data visualization and various aspects of data. Data visualization is a way of presenting data in a graphical or pictorial format. It can be used to present data in a more easily understood format. You can use it to show trends, patterns, and relationships in data. They can be used to make comparisons or show changes over time. The course includes an introduction to Tableau, Storyboards, and special charts and parameters in Tableau.
Sql and Python for Data science
Get hands-on with the two most essential tools in data science. This course introduces you to SQL for querying databases and Python for data manipulation, analysis, and visualization—empowering you to make data-driven decisions in business environments. You’ll work on real-world datasets to practice writing queries, building data pipelines, and creating insights.
Machine Learning for Business Applications
Ace the increasingly popular and growing technology, Machine Learning, in different business applications. This course will shed light on how Machine Learning is helping businesses automate their operations in various industries, including healthcare, finance, and manufacturing. Learn Linear and Logistic regression, Decision Tree models, Clustering, and other concepts that help you make smarter decisions in your everyday business.
Deep Learning for Business
Explore how deep learning powers real-world business applications—from image recognition to customer behavior prediction. This course demystifies key concepts like neural networks and model training, focusing on practical use cases across industries. You’ll learn how to apply deep learning models using frameworks and understand how to evaluate model performance in a business context.
NLP and LLM
Learn how machines understand and generate human language. This course covers the fundamentals of NLP and dives into the emerging role of Large Language Models in transforming customer support, marketing, and operations. You’ll explore text processing, sentiment analysis, and language generation through practical exercises, and gain insight into the ethical and strategic implications of deploying LLMs in business.