Numpy for Data Science

What you'll be able to do

• Reading and Writing Arrays
• Working with Arrays
• Data Manipulation
• Data Aggregation
• Mathematical Operations
• Broadcasting data
• Statistical Analysis
• Handling Dates

1. 01Overview4 lessons · 5 min

   1. Welcome Message (Don't Skip!)1:00
   2. Introduction to Numpy2:29
   3. How to Get Queries Resolved1:00
   4. Download Resources1:00
2. 02Setup Environment2 lessons · 14 min

   1. Python Setup Local Installation9:47
   2. Python Setup Google Colab4:33
3. 03Creating arrays7 lessons · 32 min

   1. Creating ArraysPreview10:21
   2. Inspecting ArraysPreview4:55
   3. Why DataTypes MatterPreview7:58
   4. Import and Export DataPreview7:16
   5. Course Review1:00
   6. AssignmentFile
   7. Assignment SolutionFile
4. 04Data Manipulation I6 lessons · 31 min

   1. Missing Data2:51
   2. Extracting Specific Items11:58
   3. Random Numbers10:36
   4. Set Operations5:44
   5. AssignmentFile
   6. Assignment SolutionsFile
5. 05Data Manipulation II8 lessons · 29 min

   1. Statistical Summaries5:46
   2. Reshaping and New Axis7:53
   3. Sequences and Repetitions4:54
   4. Mesh Grid3:37
   5. Concatenate and Split5:59
   6. Course Review1:00
   7. AssignmentFile
   8. Assignment SolutionsFile
6. 06Useful Functions8 lessons · 39 min

   1. Sorting Methods8:15
   2. Searchsorted and Bisect5:30
   3. Handling Dates7:07
   4. Vectorization5:23
   5. Apply Along5:48
   6. Useful Functions6:37
   7. AssignmentFile
   8. Assignment SolutionsFile
7. 07Broadcasting and uFuncs2 lessons · 9 min

   1. Broadcasting5:43
   2. Universal Functions (UFuncs)3:24
8. 08Mathematical Operations7 lessons · 28 min

   1. Interpolation5:50
   2. Fitting Polynomials9:14
   3. Matrix Operations9:40
   4. Solving Linear Equations2:28
   5. Course Review1:00
   6. AssignmentFile
   7. Assignment SolutionFile
9. 09Summary1 lesson · 1 min

   1. Closing Remarks1:17
10. 10Course resources1 lesson · 1 min

    1. More Resources and Next step1:00

What you need

• Designed for absolute beginners. No prior experience required.
• Logical Reasoning
• Curiosity and intent to learn

Who this course is for

• Data Science Aspirants
• Data Science Professionals
• Software/Data engineers interested in quantitative analysis
• Professionals working with large datasets
• Data analysts, economists, researchers

Your instructor

Prabhakaran S

Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this course!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I've deployed 20+ global products. I'm also the Founder and Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I've put up the series of courses and projects with detailed explanations, just like on-the-job experience. Hope you love it!

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