Udemy – Data Analysis Bootcamp™ 21 Real World Case Studies 2020-4

Description

Data Analysis Bootcamp 21 Real World Case Studies is a comprehensive and practical training course in data analysis, specifically the acquisition of business intelligence skills using statistics, data processing, data science, imaging, and Google Data Studio. The purpose of data analysis is to discover how this data can answer our questions or solve problems that occur during the use of technology. In the last two decades, the pervasiveness of the Internet and connected devices has led to a significant increase in the amount of data generated, so that the amount of data we have today is surprising and unique. The skill and ability to collect, transform, and gain valuable and practical insights from this amount of data is rapidly becoming one of the most sought-after skills in the 21st century.

In this course, you will learn how to use data, analysis, statistics, probability, and basic data science to advance your career and daily life. You will also learn how to build attractive dashboards and display information and results using visualization as well as forecasting. Other techniques and concepts include data manipulation in Pandas, hypothesis testing, geographic data visualization, and supervised and unsupervised machine learning (clustering). Examples that this course will study include analysis of election results, Olympics, restaurants, marketing and advertising, text analysis, time series forecasting (supply and demand) and so on. Also included is a quick introduction to Python, as well as a full course in Google Data Studio.

What do you learn?

Understand the value of data and the importance of analysis and its role in business

Learn how to use Python and Pandas, Seaborn and Scikit-learn modules

Learn illustration tools like Matplotlib, Plotly and Mapbox

Familiarity with hypothesis test and A / B, t and p values tests

Linear regression based machine learning, K-NN, logical regression, SVM, random tree etc.

Analyze and study a variety of examples including retail, health, election, sports, Airbnb, Uber and many more.

And

This training is suitable for people who

Beginners in data analysis

Business analysts who want to make the most of their data

University graduates who have not worked with practical and real projects

Engineers or software developers who change their profession to data analytics

Anyone who seeks to understand and gain insight into it

People who are looking for a good foundation, have given science before starting a bachelor's degree

Profile Data Analysis Bootcamp 21 Real World Case Studies

Publisher: Udemy

Instructor: Rajeev D. Ratan, Nidia Sahjara

English language

Level of training: Introductory

Number of lessons: 129 lessons in 50 sections

Duration: 14h 55m

Prerequisites

Familiar with basic programming concepts

Highschool level math knowledge

Broadband Internet connection

Installation

After Extract, watch with your favorite Player.

Subtitle: None

Quality: 720p