Overview What You Will Learn Curriculum Instructor

Course Overview

Data Science has made many people’s lives around the world better. Doctors, businesses, and even educational institutions are getting huge help from Data Science. Data is being generated out there by every person in the forms of Transactions, social media accounts, and many more. The world needs more Data Scientists! You can be one of them and amaze the world with your insights and predictive modeling. Data Science was listed among the hottest jobs of the 21st century. 

We will start with a friendly introduction to data science and the various terminologies involved in the same. We will then move to Python and cover all the interesting topics such as the history of Python Language and the basics of the language. Followed by Python, we will dive into mathematics for kids and cover all the relevant topics related to the same. We will then move to interesting and fun topics like Excel for data science and predictive analysis.

Taking this course will help you prepare for your dream job at an early part of your job and will be one of the key steps to entering the field. With this course, you will learn the basics of Data Science and after that, use your new skills to do a project that will predict the temperature on a given day.

What You Will Learn

  • Data Science to solve real-world problems
  • including predicting the weather!
  • What you will need to be a Data Scientist?
  • Importance of Data Science
  • How to use Python language for Data Science in the hands-on exercises?
  • How to visualize data in the Let’s Draw sections?
  • How to predict the temperature using Data Science?

Program Curriculum

  • What is Data Science?
  • Who is a Data Scientist?
  • Examples of Data Science Problems - Story time!
  • Descriptive and Predictive Data Science
  • What is Python?
  • Summary
  • $7 Million Cybersecurity Scholarship by EC-Council
  • Chapter 1 Quiz

  • Overview
  • Introduction to Colab Notebooks
  • Number and Strings
  • If statements
  • For Statements
  • Lists, sets and Dictionaries
  • Functions
  • Classes
  • Summary
  • Chapter 2 Quiz

  • Probability
  • Mean, Median and Mode
  • Variance and Standard Deviation
  • Hypothesis Testing
  • Correlation vs Causation
  • Summary
  • Chapter 3 Quiz

  • An Introduction to Microsoft Excel
  • Importing data from different sources
  • Pivot Tables
  • Bar Charts - Let’s Draw!
  • Pie Charts - Let’s Draw!
  • Scatterplots - Let’s Draw!
  • Histograms - Let’s Draw!
  • Summary
  • Chapter 4 Quiz

  • What is Machine Learning?
  • Supervised Learning
  • Structured Vs Unstructured Data
  • Decision Trees - Story Time!
  • Decision Trees - Coding
  • Measuring Accuracy - Story Time!
  • Measuring Accuracy - Coding
  • Regression - Coding
  • Unsupervised Learning
  • Clustering - Story Time!
  • Clustering - Coding
  • Summary
  • Chapter 5 Quiz

  • Predictive Modelling in Excel - Part 1
  • Predictive Modelling in Excel - Part 2
  • Summary
  • Chapter 6 Quiz

  • Identifying the Problem
  • Predicting the Temperature (Regression)
  • Play Tennis or Not (Classification)
  • Summary
  • Chapter 7 Quiz

  • What Have We Learned?
  • Watch out! Data Ethics, Biased Data
Load more modules

Instructor

Jamshaid Sohail

Jamshaid Sohail has done bachelor’s in computer science and hold experience of 3 years in industry working in the Domain of Data Science. He has worked on several real time projects and completing them with full success in industry. He is also an alumnus of University of Cambridge and have done a summer course. Sohail has undertaken over 67 tutorials in the field from different online platforms. He is also an author and technical reviewer in technology publishing. He always looks for challenges in life and striving hard to make things happen.

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