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The [course_title] course teaches the essential programming skill that you need to know for manipulating data.  The use of Python in organising and managing data in the table and the system of visualising the data will be discussed in the course.

No prior knowledge of programming or Python is required. The course gives the real-data from diverse settings. Powerful examples from the Napoleonic era to the present day will be given to you for understanding the concepts easily.

Assessment

This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

Certification

Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.

Having an Official Edukite Certification is a great way to celebrate and share your success. You can:

  • Add the certificate to your CV or resume and brighten up your career
  • Show it to prove your success

 

Course Credit: University of California 

Course Curriculum

Module: 01
Lec 1.1 Course Overview 00:02:00
Lec 1.2 Why Data Science 00:04:00
Lec 1.3 Programming 00:02:00
Lec 1.4 Demo: Little Women 00:09:00
Lec 1.5 Demo: Visualizations (1) 00:06:00
Lec 1.6 Demo: Visualizations (2) 00:04:00
Introduction to Jupyter Notebooks 00:06:00
Module: 02
Lec 2.1 Questions 00:04:00
Lec 2.2 Association 00:09:00
Lec 2.3 Causation 00:07:00
Lec 2.4 Confounding 00:05:00
Module: 03
Lec 3.1 Python 00:07:00
Lec 3.2 Names 00:10:00
Lec 3.3 Call Expressions 00:05:00
Lec 3.4 Tables 00:04:00
Lec 3.5 Select 00:06:00
Lec 3.6 Sorting 00:11:00
Lec 3.7 Bar Charts 00:12:00
Module: 04
Lec 4.1 Arithmetic 00:11:00
Lec 4.2 Arithmetic Question 00:03:00
Lec 4.3 Exponential Growth 00:09:00
Lec 4.4 Arrays 00:03:00
Lec 4.5 Columns 00:08:00
Module: 05
Lec 5.1 Creating Tables 00:06:00
Lec 5.2 Strings 00:09:00
Lec 5.3 String Exercise 00:01:00
Lec 5.4 Exercise Answer 00:01:00
Lec 5.5 Minard’s Map 00:03:00
Lec 5.6 Minard’s Map Code 00:08:00
Lec 5.7 Lists 00:08:00
Lec 5.8 Take 00:04:00
Lec 5.9 Where 00:11:00
Module: 06
Lec 6.1 Census 00:07:00
Lec 6.2 Column Arithmetic 00:03:00
Lec 6.3 Accessing Values 00:06:00
Lec 6.4 Males and Females 00:07:00
Module: 07
Lec 7.1 Line Graphs 00:11:00
Lec 7.2 Example 1 00:04:00
Lec 7.3 Scatter Plots 00:07:00
Lec 7.4 Example 2 00:06:00
Lec 7.5 How to Choose 00:02:00
Lec 7.6 Types of Data 00:04:00
Lec 7.7 Distributions 00:11:00
Lec 7.8 Example 3 00:08:00
Module: 08
Lec 8.1 Area Principle 00:07:00
Lec 8.2 Binning 00:18:00
Lec 8.3 Example 1 00:05:00
Lec 8.4 Drawing Histograms 00:13:00
Lec 8.5 Density 00:09:00
Lec 8.6 Example 2 00:06:00
Lec 8.7 Example 3 00:05:00
Module: 09
Lec 9.1 Comparing Histograms 00:06:00
Lec 9.2 Comparing Histograms Discussion 00:03:00
Lec 9.3 Defining Functions 00:05:00
Lec 9.4 Defining Functions Discussion 00:08:00
Lec 9.5 Apply 00:03:00
Lec 9.6 Example Prediction 00:11:00
Module: 10
Lec 10.1 One Attribute Group 00:14:00
Lec 10.2 Cross Classification 00:11:00
Lec 10.3 Example 1 00:05:00
Lec 10.4 Pivot Tables 00:13:00
Lec 10.5 Example 2 00:05:00
Lec 10.6 Comparing Distributions 00:12:00
Module: 11
Lec 11.1 Joins 00:10:00
Lec 11.2 Bikes 00:10:00
Lec 11.3 Shortest Trips 00:05:00
Lec 11.4 Maps 00:09:00
Module: 12
Lec 12.1 Table Method Review 00:07:00
Lec 12.2 Discussion Question 00:06:00
Lec 12.3 Midterm Question 00:08:00
Lec 12.4 Advanced Where 00:09:00
Module: 13
Lec 13.1 Comparison 00:06:00
Lec 13.2 Predicates 00:02:00
Lec 13.3 Random Selection 00:05:00
Lec 13.4 Random Selection Discussion 00:04:00
Lec 13.5 Print 00:03:00
Lec 13.6 Control Statements 00:06:00
Lec 13.7 For Statements 00:10:00
Assessment
Submit Your Assignment 00:00:00
Certification 00:00:00

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