Course curriculum

  • 1

    Week 1 - Welcome to the Course!

  • 2

    Week 2 - What is Data Sciences?

    • 4. House Keeping

    • 5. How to teach Data Sciences?

    • 6. How to teach Data Sciences Part 2

    • 7. Pre-Reqs

    • 8. What is Data?

    • 9. What is Data Part 2

    • 10. What is Data Part 3

    • 11. What is Data Part 4

    • 12. What is Science?

    • 13. What is Scientific Method?

    • 14. What is Scientific Method Part 2

    • 15. Who is Data Scientist?

    • 16. Data Science Career Paths

    • 17. Data Science Thought Process

    • 18. Data Science Thought Process Part 2

    • 19. Excercise

    • 20. Assingments Part 1

    • 21. Assingments Part 2

    • 22. The Power of Data - Hans Rossling - I

    • 23. The Power of Data - Hans Rossling - II

    • 24. Zeeshan Usmani on CNN

    • 25. Hourglass Introduction by Zeeshan Usmani

    • 26. Assignment # 02 - Draw Paper

    • 27. Assignment # 03 - Amazon Engineer

    • 28. Assignment # 04 - Our World in Data

    • 29. Assignment # 05 - Visual Capitalist

    • 30. Assignment # 06 - Visual Cinnamon

    • 31. Assignment # 07 - Datasets and Sources

    • 32. Assignment # 08 - Data Collection Apps

    • How to Study Offensive Pentesting and Data Science Together and be job or freelancing ready in 9 to 12 months

  • 3

    Week 3 - Guest Module - Sana Rasheed

    • 33. Introduction

    • 34. Data and Data Scientists

    • 35. Data Science Project Lifecycle

    • 36. Case Study - Retail Industry

    • 37. Case Study - Automotives Industry

    • 38. Case Study - Automotive Industry II

    • 39. Conclusion

    • 40. Big Data in Today's World

    • آئیں میتھ سیکھیں کھیل کھیل میں

    • 41. Assingment - Kaggle Profile for Capstone Project

    • 42. Assignment 2 - YouTube Analytics (So you can be on CNN too)

    • 43. Assignment 3 - Readings

    • 44. Assignment 4 - Join Job Portal So Can Land You a Job!

    • 45. Assignment 5 - Predict Anyone's Personality

    • 46. Field Guide to Data Sciences

    • How to Study DFTH and Data Science Together and be job or freelancing ready in 9 to 12 months

  • 4

    Week 4 - Data Science Explained

    • 47. Welcomet to Week 4

    • 48. Misconceptions about Pakistan

    • 49. Assignments Autopsy Part 1

    • 50. Assignments Autopsy Part 2

    • 51. Assignments Autopsy Part 3

    • 52. Assignments Autopsy Part 4

    • 53. Assignment Recommendations

    • 54. Why Data Science is Necessary - Part 1

    • 55. Why Data Science is Necessary - Part 2

    • 56. Why Data Science is Necessary - Part 3

    • 57. Data Science Recap

    • 58. Data Science Examples Part 1

    • 59. Data Science Examples Part 2

    • 60. Data Science Examples Part 3

    • 61. How You Can Do It Part 1

    • 62. How You Can Do It Part 2

    • 63. Predictions

    • 64. Assignments

    • 65. Zeeshan Usmani Bonus Sofware Part 1

    • 66. Zeeshan Usmani Bonus Sofware Part 2

    • 67. Zeeshan Usmani Bonus Sofware Part 3

    • 68. Assignment # 01

    • 69. Assignment # 02

    • 70. Assignment # 03

    • 71. Assignment # 04

    • 72. Assignment # 05

    • 73. Resources - Books - Data Science

    • 74. Resources - Books - Machine Learning & Statistics

    • 75. Resources - Books - Python

    • 76. BBC - The Joy of Data

    • 77. Trailer - The Social Dilemma

    • 78. The Economist - Big Data

    • How to Study Cyber Defense and Data Science Together and be job or freelancing ready in 9 to 12 months

  • 5

    Week 5 - Guest Module - Muhammad Taimur - Big Data I

    • Introduction to Big Data

    • What is Big Data

    • Big Data Problem

    • Hadoop Framework

    • Hadoop Ecosystem

    • Hadoop Ecosystem - II

    • NoSQL

    • Hadoop Distributions

  • 6

    Week 6 - Guest Module - Muhammad Taimur - Big Data II

    • Big Data - Setting Up Environment

    • HDFS

    • HDFS Commands - I

    • HDFS Commands - II

    • HDFS Architecture

    • MapReduce

    • Map Reduce Components - I

    • Map Reduce Components - II

    • Map Reduce Handson

    • Hive

  • 7

    Week 7 - Guest Modules

    • Sheryar Murtaza - Data Sciences in Insurance

    • Umair Hanif - NLP App

    • M. Luqman - Data Sciences in Remote Sensing

    • NASA - Demystifying Data Sciences

  • 8

    Week 8 - Kaggle

    • What is Kaggle?

    • Why Kaggle?

    • Kaggle Tutorial

    • Understand Kaggle Part - 1

    • Understand Kaggle Part - 2

    • Machine Learning by Wired

    • Big Data is Better Data

    • Understand Kaggle Part - 3

    • Unknowns

  • 9

    Week 9 - Data Science Questions

    • Data Science Questions - Part 1

    • Data Science Questions - Part 2

    • Data Science Questions - Part 3

    • Data Science Questions - Part 4

    • Data Science Questions - Part 5

    • Data Science Questions - Part 6

    • Data Science Questions - Part 7

    • Ted - Prukal Sankar

    • The World in 2050

  • 10

    Week 10 - Who's a Data Scientist?

    • Who's a Data Scientist - Part - 1

    • Who's a Data Scientist - Part - 2

  • 11

    Week 11 - Market Trends and Career Paths

    • Market Trends and Career Paths

  • 12

    Week 12 - Data Science Tools

    • Data Science Tools

  • 13

    Week 13 - Data Science Life Cycle

    • Data Science Life Cycle

  • 14

    Week 14 - Data Science Competitions

    • Data Science Competitions

  • 15

    Week 15 - H20

    • H2O.AI

  • 16

    Week 16 - Data Scrapping

    • Data Scrapping Tools

  • 17

    Week 17 - Data Science Resources

    • Data Science Resources

    • Data Science Resources