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1 Students
71 Lessons
Beginner

What Will You Learn?

  • Become a professional Data Scientist, Data Engineer, Data Analyst or Consultant
  • How to write complex R programs for practical industry scenarios
  • Learn data cleaning, processing, wrangling and manipulation
  • Learn Plotting in R (graphs, charts, plots, histograms etc)
  • How to create resume and land your first job as a Data Scientist

Curriculum

22h 16m
Section 1: DS and ML from A-Z Course Intro
32:01
Section 2: Getting Started with R
44:52
Getting Started
10:58
Basics
06:25
Files
11:08
RStudio
06:59
Tidyverse
05:19
Resources
04:03
Section 3: Data Types and Structures in R
5:01:57
Section Introduction
30:03
Basic Types
08:47
Vectors Part One
19:41
Vectors Part Two
24:52
Vectors - Missing Values
15:36
Vectors - Coercion
14:07
Vectors - Naming
10:16
Vectors - Misc.
06:00
Creating Matrices
31:28
Lists
31:42
Introduction to Data Frames
19:20
Creating Data Frames
19:50
Data Frames Helper Functions
31:12
Data Frames - Tibbles
39:03
Section 4: Intermediate R
4:14:11
Section Introduction Intermediate R
46:31
Relational Operations
11:07
Logical Operators
07:05
Conditoinal Statements
11:20
Loops
07:57
Functions
14:20
Packages
11:29
Factors
28:14
Dates and Times
30:11
Functional Programming
36:41
Data Import or Export
22:07
Database
27:09
Section 5: Data Manipulation in R
5:39:59
Data Manipulation in R Section Introduction
36:29
Tidy Data
10:54
The Pipe Operator
14:50
The Filter Verb
21:35
The Select Verb
46:04
The Mutate Verb
31:57
The Arrange Verb
10:04
The Summarize Verb
23:06
Data Pivoting
42:42
JSON Parsing
10:46
String Manipulation
32:39
Web Scraping
58:53
Section 6: Data Visualization in R
2:24:30
Data Visualization in R Section Introduction
17:13
Getting Started
15:38
Aesthetics Mappings
24:45
Single Variables Plot
36:50
Two Varible Plots
20:34
Facets Layering and Coordinate System
17:56
Styling and Saving
11:34
Section 7: Creating Reports with R Markdown
28:55
Creating Reports with R Markdown
28:55
Section 8: Building Webapps with R Shiny
1:31:28
Section Introduction With R Shiny
26:05
A Basic App
31:18
Other Examples
34:05
Section 9: Introduction to Machine Learning
1:08:35
Intro to Machine Learning - Part 1
21:49
Intro to Machine Learning - Part 2
46:46
Section 10: Starting A Career in Data Science
29:42
Starting a Career in Data Science
02:54
Data Science Resume
03:43
Getting Started with Freelancing
04:44
Top Freelancing Websites
05:19
Personal Branding
05:28
Importance of Website and Blog
03:43
Networking Dos and Don'ts
03:51

Description

Requirements

  • basic computer skills

About the Instructor

Reviews 0
Students 43
Courses 18

Hi I'm Juan. I've been an Entrepreneur since grade school. I've started several companies, created many products and sold on various online marketplaces with great success.

I've learned the strategies, philosophies, methodologies, principles and core values from the most successful people in the world.

I believe in continuous education with the best of a University Degree without all the downsides of burdensome costs and inefficient methods.

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