Data Analytics

Learn to create your own custom Google analytics dashboards in minutes with Google Data Studio

Data analytics refers to the qualitative and quantitative techniques used to generate insights from existing data so that productivity can be enhanced. This tutorial provides a high-level overview of the use of data analytics and big data, with particular focus on machine learning techniques that have reinvigorated the field of data science. Prerequisite Knowledge None Level: Introductory

Data analytics refers to the qualitative and quantitative techniques used to generate insights from existing data so that productivity can be enhanced. This tutorial provides a high-level overview of the use of data analytics and big data, with particular focus on machine learning techniques that have reinvigorated the field of data science. Prerequisite Knowledge None Level: Introductory

Data analytics refers to the qualitative and quantitative techniques used to generate insights from existing data so that productivity can be enhanced. This tutorial provides a high-level overview of the use of data analytics and big data, with particular focus on machine learning techniques that have reinvigorated the field of data science. Prerequisite Knowledge None Level: Introductory

What you'll learn

Learn the Fundamentals of Watson Analytics

Importing, joining, and refining data

Using natural language querying

Understanding key drivers

Data, discovery, and display

Displaying insights and interpreting decision trees

The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques.

Use R for Data Analytics and Data Mining

Plain & Simple Lessons on Descriptive & Inferential Statistics Theory With Excel Examples for Business & Six Sigma

Your Complete Guide to Statistical Data Analysis and Visualization For Practical Applications in R

Move beyond basic reports and learn data analysis. Learn to easily turn data into information, insight and intelligence

This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach to the more commonly-taught Frequentist approach, and see some of the benefits of the Bayesian approach.

A thorough practical introduction to Natural Language Processing (NLP) in Python, including: regular expressions, text preparation, text classification, topic modelling and sentiment analysis.

Step-by-step learning roadmap to become a practitioner of Data Analytics.

Who this course is for:

•People who want to learn more about data, but don't know where to start

•Anyone who believes that learning to work with data will change the way they do business, live their lives and help others

•Someone who wants to ultimately work with data tools and learn how to make data-driven decisions

•This course is the first step in learning how to work with data, building the context needed to understand the big picture

•This course is NOT an Excel or SQL tutorial

What you'll learn

-Transform Data into INSIGHT and INTELLIGENCE using powerful methods of analysis, techniques and tools

- Learn data analysis using easy to master drag and drop techniques - NO CONFUSING FORMULAS, macros or VBA

- Learn 8 different techniques for DATA ANALYSIS that can be easily implemented in Excel (2010 - Office 365)

- LIFE TIME ACCESS to course materials and practice activities from a BEST SELLING Udemy instructor

- Learn to ask the RIGHT questions of your data using comparison, trend, ranking, variance, pareto and many other techniques

- Learn BEST practices for data analysis and data presentation

In this course, you'll learn how to use Data, Analytics, Statistics, Probability, and basic Data Science to give an edge in your career and everyday life. Being able to see through the noise within data, and explain it to others will make you invaluable in any career.

You can experience over 2 dozen real-world data sets and show how to obtain meaningful insights. The course will take you on one of the most up-to-date and comprehensive learning paths using modern-day tools like Python, Google Colab and Google Data Studio.

You'll learn how to create awesome Dashboards, tell stories with Data and Visualizations, make Predictions, Analyze experiments and more!

Requirements

•Familiar with basic programming concepts

•Highschool level math knowledge