Fast-track your learning journey in Data Science and AI

In this week, learners will build a foundation in core data science and Generative AI concepts, develop Python skills for data manipulation and analysis, and explore practical applications of Generative AI. The week concludes with a hands-on case study applying data science to solve a real-world business problem.

In this module, learners will read, explore, manipulate, and visualize data to tell stories, solve business problems, and deliver actionable insights and business recommendations by performing exploratory data analysis using some of the most widely used Python packages.

In this module, learners will build practical expertise in Generative AI by mastering Prompt Engineering and Large Language Model workflows. The module covers prompt design, text classification, and summarization, and applying LLMs to solve real-world business problems.

In this module, learners will use Python for statistical analysis to evaluate business estimates with confidence intervals and test assumptions before committing resources. They will analyze data distributions and perform hypothesis testing to support data-driven decisions.

In this module, learners will explore linear models to capture relationships between variables and continuous outcomes. They will check the statistical validity of these models and draw inferences to gain business insights into key factors influencing decision-making.

In this module, learners will explore classification models to capture relationships between variables and categorical outcomes. They will gain business insights by identifying key factors that influence decision-making.

In this module, learners will use ensemble techniques to combine decisions from multiple models and improve predictions. They will apply feature engineering and hyperparameter tuning to build robust models that help optimize business costs.

In this module, learners will apply clustering algorithms to group data based on similarity and uncover hidden patterns. The content also includes dimensionality reduction techniques to enhance understanding of intrinsic data patterns and structure

In this module, learners will build a foundation in database concepts and SQL. They will write simple queries to filter and retrieve data and use advanced SQL techniques with joins, window functions, and subqueries to solve real-world data problems and extract business insights.

This course is designed to provide you with a comprehensive understanding of Deep Learning, specifically Artificial Neural Networks. These networks consist of multiple hierarchical levels and serve as fundamental building blocks for knowledge discovery, application, and prediction from data. Through this course, you will gain expertise in effectively applying Artificial Neural Networks to real-world scenarios

Gain expertise in leveraging Convolutional Neural Networks (CNNs) to empower computer systems with visual perception and comprehension. This program equips you with the skills to effectively process and utilize image data for business applications. 

This course will explore the fascinating application of Neural Networks in enabling computers to comprehend human language. Specifically, you will learn how to analyze text data and determine its underlying sentiment. 

• Pre-work: Natural Language Processing 

• Vectorization and Sentiment Analysis 

• Sequential Natural Language Processing using Deep Learning