data data-analysis analysis analytics ;

Course / Course Details

Data Science and Analytics Fundamentals

Data Analysis

By - Super admin
20 students
4 Hours
(0)

Course Requirements

Anyone can learn and become a data analytics professional. However, here are some prerequisites that would be helpful for choosing a career in data analytics: Ability to work with numbers and quantitative stuff Some programming experience Willingness to learn statistical concepts Passion for solving problems If you plan to switch to being a data analyst but bear no experience in the industry, this data analytics tutorial will provide you with a strong foundation in the subject.

Course Description

Welcome to this course. Data is every detail of our very existence. Conciously or not, we all contribute to global data and this data is relevant to different oganisations, in different forms to aid important decision making processess. Data analytics is the science of analyzing data and extracting meaningful information that can be used to make better decisions in an organization. This is something we all start doing from an early age. Analytics will help demystify data so you can use it to make informed decisions, recognize trends, detect outliers, and summarize data sets to inform business decisions. Everything we do involves systems and processes. We buy and sell things; we eat, we travel, we watch TV, we surf the internet, we listen to music. With all this activity taking place, global businesses are drowning in data and they increasingly rely on people with good analytics skills to inform organizational decision-making. Overtime, the importance of data analytics have risen and this has led to the demand for analytical skills. It’s the data analyst’s job to translate the data into actionable — and profitable — business intelligence. Go above and beyond your peers by gaining the skill packed in this course.

Course Outcomes

In this course you will learn: what data science and analytics is all about, how to scrap data, data mining, how to import and export data, data visualisation.

Course Curriculum

6 chapters
13 lectures
0 quizzes
4 Hours total length

Toggle all chapters

1 Introduction

2 Min

2 Introduction To Data Analytics

5.11 Min

Introduction To Data Analytics

3 Introduction to Data Analytics

3 Min

4 Data Science vs. Data Analytics

4 Min

1 Python Fundamental

N/A

2 Navigating Anaconda

13 Min

3 Practical

2 Min

1 Data Visualization with Tableau

2 Min

2 Practical

30 Min

1 Web And Social Media Monitoring

3 Min

2 Web And Social Media

6 Min

1 Fraud: Identify the Red Flag

1 Hour 7 Min

1 Weekly Project

20 Min

Instructor

Super admin

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.

0 Rating