Data Science for All : A Foundation Course

Data Science for All : A Foundation Course, available at Free, has an average rating of 4.3, with 25 lectures, 2 quizzes, based on 209 reviews, and has 5146 subscribers.

You will learn about What is Data Science Applications of Data Science Data Science Workflow Jobs and skills in Data Science Data Science case studies Applications of Machine learning Applications of Artificial intelligence Applications of Internet of things (IOT) Data Collection and Storage Supervised Learning Unsupervised Learning This course is ideal for individuals who are The course is for anyone who wants to get an understanding of Data Science domain. It is particularly useful for The course is for anyone who wants to get an understanding of Data Science domain.

Enroll now: Data Science for All : A Foundation Course

Summary

Title: Data Science for All : A Foundation Course

Price: Free

Average Rating: 4.3

Number of Lectures: 25

Number of Quizzes: 2

Number of Published Lectures: 25

Number of Published Quizzes: 2

Number of Curriculum Items: 27

Number of Published Curriculum Objects: 27

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

What is Data Science
Applications of Data Science
Data Science Workflow
Jobs and skills in Data Science
Data Science case studies
Applications of Machine learning
Applications of Artificial intelligence
Applications of Internet of things (IOT)
Data Collection and Storage
Supervised Learning
Unsupervised Learning

Who Should Attend

The course is for anyone who wants to get an understanding of Data Science domain.

Target Audiences

The course is for anyone who wants to get an understanding of Data Science domain.

What is data science, why is it so popular, and why did the Harvard Business Review hail it as the “sexiest job of the 21st century”?

Welcome to the Data Science for All course, where you will learn everything that you need to know about this rapidly growing exiting field of DS.

I am Anmol Tomar, a Data Scientist with over 6 years of experience in Data Science. I have worked with various fortune 500 clients in various domains such as retail, insurance, banking and helped them take data driven decisions.

In this non-technical course, you’ll be introduced to everything you were ever too afraid to ask about this fast-growing and exciting field, without needing to write a single line of code.

Through different exercises, you’ll learn about the different data scientist roles, foundational topics like hypothesis testing, deep learning, machine learning, and how data scientists extract knowledge and insights from real-world data. So don’t be put off by the buzzwords. Start learning, gain skills in this hugely in-demand field, and discover why data science is for all!

I have designed this course for anyone who wants to understand the holistic view of the field of Data Science. By the end of this course, you will be able to confidently apply DS to the real world business problems.

Preview image by freepik

Course Curriculum

Chapter 1: Introduction to Data Science

Lecture 1: What is Data Science ?

Lecture 2: Data Science Workflow

Lecture 3: Applications of Data Science Part 1

Lecture 4: Applications of Data Science Part 2

Lecture 5: Practice : Examples of Machine, Deep Learning and Internet Of Things

Lecture 6: Data Science roles and tools

Chapter 2: Data Collection & Storage

Lecture 1: Data Types Part 1

Lecture 2: Data Types : Part 2

Lecture 3: Data Collection

Lecture 4: Data Storage

Lecture 5: Data Pipeline

Chapter 3: Data Prepration, Data Exploration And Visualization

Lecture 1: Data Cleaning

Lecture 2: Practice : Retail Sales

Lecture 3: Practice : Sentiment Analysis

Lecture 4: Exploratory Data Analysis (EDA)

Lecture 5: Practice : Count Data Points

Lecture 6: Visualization & Dashboards

Lecture 7: Practice : 100m world record

Chapter 4: Experiment And Predict

Lecture 1: Hypothesis Testing

Lecture 2: Practice : Social Media Campaign

Lecture 3: Supervised Learning

Lecture 4: Practice : Identify Supervised ML

Lecture 5: Practice : Select the right model

Lecture 6: Unsupervised Learning

Lecture 7: Practice : Identify Unsupervised ML

Instructors

Anmol Tomar
Senior Data Scientist and Instructor

Rating Distribution

1 stars: 7 votes
2 stars: 7 votes
3 stars: 38 votes
4 stars: 61 votes
5 stars: 96 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu