Data Science for All : A foundation course
Learn everything you need to know about fast-growing field of Data Science without having to write a single line of code
Development ,Data Science,Artificial Intelligence
Lectures -26
Duration -1.5 hours
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Course Description
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.
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Goals
- 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
Prerequisites
- No prior knowledge required.

Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction to Data Science
7 Lectures
-
Course Overview 01:59 01:59
-
What is Data Science ? 06:01 06:01
-
Data Science Workflow 06:01 06:01
-
Applications of Data Science Part 1 04:36 04:36
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Applications of Data Science Part 2 06:00 06:00
-
Practice : Examples of Machine, Deep Learning and Internet Of Things 02:25 02:25
-
Data Science roles and tools 07:09 07:09
Data Collection and Storage
5 Lectures

Data Prepration, Data Exploration And Visualization
7 Lectures

Experiment and Predict
7 Lectures

Instructor Details

Anmol Tomar
I am a Data Scientist with over 7 years of experience in python, data analysis, machine learning, and more. I have worked with various fortune 500 clients in various domains such as retail, insurance, banking and helped them take data-driven decisions.
Teaching has always been my passion. I have taught many students in offline mode and now with Tutorialspoint as a platform, I am looking forward to making the e-learning experience fun for you.
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