This Artificial Intelligence free course will help you learn about the applications of AI in the service and non-service industries. You will also be able to leverage this knowledge to understand and appreciate the role of AI in different industries.

This course is an introductory course to help you get started with python programming. In this course you will be learning control statements, basic data structures, and OOP concepts.

In this free course you will learn about data analytics and ways to transform data and gain actionable insights. Additionally, you will learn how to visualise data and about various chart types using Tableau

This Introductory course will help you to get started with your data analytics journey. In this course you will learn all about database design and the basics of MySQL using MySQL Workbench.

This course will be focused on developing problem-solving ability using Python and will familiarize you with programming. In this course you will solve coding questions based on Lists, Strings and other data structures like tuples, sets and dictionary.

This data science course will help you acquire skills used in the E-commerce sector to make key business decisions using data. In this course you will learn about Recommendation System, Price Optimisation, Market Mix Modelling and A/B Testing.

In this beginner-friendly course, you will learn all everything about MS Excel. This course will help you in building the skills required to analyse large datasets and generate business relevant insights.

This course will help you apply your knowledge in SQL, Python and Tableau. In this course you will be going through a case study, where you will be combining these three technologies to come up with a business solution for our churn problem.

This is a preparatory course which will help you build your knowledge on Python programming. In this course you will learn about three important and the most popular Python libraries for handling data: NumPy, Matplotlib and Pandas.

This course will help you become a master in SQL. In this advanced course you will learn concepts such as window functions, partitioning, query optimisation, case statements, and stored functions which will help in solving tricky questions easily and are useful tools for handling several use cases.

This course will help you start your Machine Learning journey by introducing you to the concept of Regression. The course covers simple and multiple linear regression, and the relevance of regression in the industries.

This course is designed to help you master Clustering in Unsupervised Learning. It includes basic introduction to Clustering, K-Means Clustering and its execution, Hierarchical Clustering, etc.

The course covers the concept of Logistic Regression and its applications in the industry. Topics such as univariate and multi-variate logistic regression in detail.

In this course, you will dive deeper into the technical aspect of collecting relevant data and preparing it for further analysis. This course will help you formulate key business strategies, optimise resources and take key decisions to solve any business problem.

In this beginner-friendly course, you will learn about the most sophisticated and cutting-edge models in machine learning - Artificial Neural Networks or ANNs. You will be introduced to the basics of Neural Networks and various concepts related to Deep Neural Network

This introductory course will help you learn Linear Algebra required for analytics. Topics such as vectors, linear transformations, matrices, eigenvalues and eigenvectors will be covered.

This course introduces you to Hypothesis Testing and covers everything from scratch. You will be learning about the types of hypotheses, Decision-making criteria, critical value and p-value methods for testing Hypothesis.

This course on Artificial Intelligence will help in taking your first step towards learning the interactions between human language and computers i.e., NLP. The course covers the basics of NLP, and other topics such as RegEx for building tools for Spell Correction, Phonetic Hashing, and Spam Detection.

This data analytics course will help you learn how to use a random sample data to describe and make inference about the population. You will learn probability, statistics, continuous and discrete probability distributions, sampling methods and their error quantification and central limit theorem.

In this course you will learn the applications of data analytics in real-world scenarios by covering topics such as analysis of data patterns, documenting insights, data visualisation and storytelling.