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Viewing 17 courses

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

This course introduces you to the syntax of Python programming language, its data structures and control structures and the application of Object Oriented Programming in Python.

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

This course advances your basic Excel skills by getting you comfortable with Excel functions and analysis.

Learn Basic Python Programming
Learn Basic Python Programming

This course will revise your basic concepts of lists and strings from a coding perspective in Python.

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

This is a course about database design and the basics of MySQL using MySQL Workbench.

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

Examine how monitoring and analytical skills are used in E-commerce domain to make business decisions.

Exploratory Data Analysis in Excel
Exploratory Data Analysis in Excel

This course teaches you to assess the data you have to build an informed strategy to grow the business.

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

This is a preparatory course on Python libraries: NumPy, Matplotlib and Pandas.

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

This course will take you through linear regression which helps us to understand the impact of variable over another.

Linear Algebra for Analysis
Linear Algebra for Analysis

In this course, we will walk you through the basics of linear algebra.

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

In this module, you will learn all about window functions, case statements, stored functions and query optimization.

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

This course teaches you to identify patterns and to communicate the insights you draw from data effectively at work.

Basics of Inferential Statistics
Basics of Inferential Statistics

In this course, you’ll learn about probability and statistics, continuous and discrete probability distributions, sampling methods and their error quantification and central limit theorem.

Hypothesis Testing
Hypothesis Testing

In this course, you’ll learn about types of hypothesis, types of test for the hypothesis, decision-making criteria for hypothesis, critical value and p-value method for testing.

 Unsupervised Learning: Clustering
Unsupervised Learning: Clustering

In this course you will learn how to group elements into different clusters when you don't have any pre-defined labels.

Logistic Regression for Beginners
Logistic Regression for Beginners

In this course, you will study the theory of logistic regression, a machine learning technique for binary classification.

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

In this course, you'll be introduced to the basics of Neural Networks and concepts related to Deep Neural Network.

Introduction to Natural Learning Processing
Introduction to Natural Learning Processing

In this course, you'll learn the basics of NLP and use regex to build tools for spell correction, phonetic hashing, and spam detection.

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