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Viewing 19 courses

Artificial Intelligence in the Real World
Artificial Intelligence in the Real World

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.

Case Study using Tableau, Python and SQL
Case Study using Tableau, Python and SQL

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.

Introduction to Tableau
Introduction to Tableau

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

Programming with Python: Introduction for Beginners
Programming with Python: Introduction for Beginners

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.

Data Science in E-commerce
Data Science in E-commerce

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.

Introduction to Data Analysis using Excel
Introduction to Data Analysis using Excel

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.

Exploratory Data Analysis in Excel
Exploratory Data Analysis in Excel

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.

Introduction to Database Design with MySQL
Introduction to Database Design with MySQL

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.

 Advanced SQL: Funtions and Formulas
Advanced SQL: Funtions and Formulas

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.

Learn Basic Python Programming
Learn Basic Python Programming

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.

Learn Python Libraries: NumPy, Matplotlib and Pandas
Learn Python Libraries: NumPy, Matplotlib and Pandas

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.

Linear Algebra for Analysis
Linear Algebra for Analysis

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.

Analyzing Patterns in Data and Storytelling
Analyzing Patterns in Data and Storytelling

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.

Basics of Inferential Statistics
Basics of Inferential Statistics

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.

Hypothesis Testing
Hypothesis Testing

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.

 Unsupervised Learning: Clustering
Unsupervised Learning: Clustering

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.

Logistic Regression for Beginners
Logistic Regression for Beginners

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.

Linear Regression: Step by Step Guide
Linear Regression: Step by Step Guide

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.

Fundamentals of Deep Learning of Neural Networks
Fundamentals of Deep Learning of Neural Networks

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

Introduction to Natural Learning Processing
Introduction to Natural Learning Processing

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.

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