Data Analyst: Data Analyst Courses

During the Data Analyst: Data Analyst course, you’ll engage with knowledge and real-life case studies as you develop practical skills and techniques for immediate application to data analyst projects, or within your organization. You will be benefited from the unique pedagogy and multidisciplinary approach of Blackboard Learning—an institution at the forefront of research and online learning—as you develop data analyst skills to better understand the data types and structures in R, Clearing EEPROM, and Python coding to control pin via serial and the factors that contribute to career success and failure.

Throughout this Data Analyst: Data Analyst course, developed by industry experts, you’ll get the opportunity to learn from experts with diverse experience. Guided by experts, Data Analyst: Data Analyst course prepares you to become a change-maker with the skills to drive your career or organization forward.

Data Analyst: Data Analyst course will demystify data analysts and give you the toolkit to make better contributions and to become an even greater asset to your organization. It will also allow you to communicate more effectively and confidently about data analyst issues, whether it is with the relevant people in your own business or with those outside your workplace.

After completing Data Analyst: Data Analyst course from Blackboard Learning, you will be more skillful with more knowledge, along with practical tips and advice that will help you to learn the essential aspects of data analysis. Skills development in data analysis leads you to career development in the data analyst sector.

Courses included in this Data Analyst: Data Analyst bundle course:

Enroll in the Data Analyst: Data Analyst course and get started with the Data Analyst: Data Analyst journey!

This Data Analyst: Data Analyst course is a course consisting of 4 courses with many data analyst-related topics.

You will get in this bundle course-

Course 1: Learn Data Science and Machine Learning with R from A-Z

Course 2: Arduino Data Visualization using Python

Course 3: Arduino EEPROM Store Data Permanently on your Arduino

Course 4: PLC Advance Course Data Registers and Internal Relays

Certificate of completion

Digital certificate - Included

The Data Analyst: Data Analyst course contains important modules that teach learners about their professional needs and succession. In the United Kingdom, Blackboard Learning is one of the most popular online Data Analyst: Data Analyst course providers. You will get a solid foundation of knowledge about data analyst in this Data Analyst: Data Analyst course. You will be able to think critically about Data Analyst: Data Analyst and comprehend basic data analyst theories and methods. This Data Analyst: Data Analyst course was created to provide you with the tools and methods you'll need to make a measurable effect in your career, whether your objective is to land a job, improve your abilities, or make a good influence in some other way.

Curriculum for Data Analyst: Data Analyst bundle courses:

Course 1: Learn Data Science and Machine Learning with R from A-Z

Section 1: Introduction to Data Science +ML with R from A-Z

• Intro To DS+ML Section Overview

• What is Data Science?

• Machine Learning Overview

• Who is this course for?

• Data Science + Machine Learning Marketplace

• DS+ ML Job Opportunities

• Data Science Job Roles

• Section 2: Getting Started with R

• Getting Started

• Basics

• Files

• R Studio

• Tidy verse

• Resources

• Section 3: Data Types and Structures in R

• Section Introduction

• Basic Types

• Vectors Part One

• Vectors Part Two

• Vectors: Missing Values

• Vectors: Coercion

• Vectors: Naming

• Vectors: Misc.

• Matrices

• Lists

• Introduction to Data Frames

• Creating Data Frames

• Data Frames: Helper Functions

• Data Frames: Tibbles

• Section 4: Intermediate R

• Section Introduction

• Relational Operators

• Logical Operators

• Conditional Statements

• Loops

• Functions

• Packages

• Factors

• Dates & Times

• Functional Programming

• Data Import/Export

• Databases

• Section 5: Data Manipulation in R

• Section Introduction

• Tidy Data

• The Pipe Operator

• Section 6: Data Visualization in R

• Section Introduction

• Getting Started

• Aesthetics Mappings

• Single Variable Plots

• Two-Variable Plots

• Facets, Layering, and Coordinate Systems

• Styling and Saving

• Section 7: Creating Reports with R Markdown

• Intro to R Markdown

• Section 8: Building Web apps with R Shiny

• Intro to R Shiny

• A Basic Webapp

• Other Examples

• Section 9: Introduction to Machine Learning

• Intro to ML Part 1

• Intro to ML Part 2

• Section 10: Data Preprocessing

• Section Overview

• Data Preprocessing

• Section 11: Linear Regression: A Simple Model

• Section Introduction

• A Simple Model

• Section 12: Exploratory Data Analysis

• Section Introduction

• Hands-on Exploratory Data Analysis

• Section 13: Linear Regression: A Real Model

• Section Introduction

• Linear Regression in R

• Section 14: Logistic Regression

• Logistic Regression Intro

• Logistic Regression in R

• Section 15: Starting a Career in Data Science

• Section Overview

• Creating A Data Science Resume

• Getting Started with Freelancing

• Top Freelance Websites

• Personal Branding

• Networking

• Setting Up a Website

Course 2: Arduino Data Visualization using Python

• Introduction & Getting Started

• Introduction

• Who We Are?

• Hardware and Software Requirements

• Important Note: Review System

• Important Note: Review System

• Download and Install Software Section

• Download and Install Arduino Pro IDE

• Download and Install Python Editor

• Download and Install Required Libraries

• Python Coding to Control Arduino Pins

• Python Coding to Control Pin via Serial

• Arduino Coding to Control Pin via Serial

• Running Python Script to Control the Pin

• Python Coding to Control Arduino Pins

• Python GUI with Button to Control Arduino Pins

• Arduino Real-Time Plotting with Python

• Arduino Real-Time Plotting with Python

• Arduino Input/ Output Control via Python

• Blink Simple Led Example with Python

• Reading Digital Input and Sending Digital Output with Python

• Extra

• Installing Python and PIP

Course 3: Arduino EEPROM Store Data Permanently on your Arduino

• Introduction & Getting Started

• Introduction

• Educational Engineering Team - Who are we?

• Hardware and Software Requirements

• Hardware and Software Requirements

• Download and Install Arduino IDE

• Download and Install Fritzing Software

• Supported Boards

• Supported Boards

• EEPROM Functions

• EEPROM Write

• EEPROM Read

• Test Write and Read Functions

• Clearing EEPROM Memory

• Practical Example

• Clearing EEPROM

• Read, Write and Print

• Practical Example - Test Read Write and Print

• External EEPROM Interfacing

• External EEPROM IC Interfacing

• Coding External EEPROM

• External EEPROM Coding Process R

• Finishing the Code

• Coding External EEPROM: Another Approach

• External EEPROM Another Coding Approach

Course 4: PLC Advance Course Data Registers and Internal Relays

• Introduction

• Introduction

• Who We Are

• Very Important Note Review Process

• Programmable Logic Controller

• Internal Relays and Data Registers

• Internal Utility Relays M

• Data Registers

• Examples

• First Example Internal Relays M

• Second Example Internal Relays and Counters

• MC & MCR with Example

• MC and MCR

• MOV and MOVP

• MOV and Mop Commands

• Compare, Branch and Increment with Example

• Compare, Branch and Increment with Example

• The End

• Bonus Lecture Gifts and Things You Shouldn't Miss

• Bonus Lecture Gifts and Things You Shouldn't Miss

Why Blackboard Learning:

Blackboard Learning is an online learning platform through which students from any corner of the world can learn their desired course. Using online learning, we assist students in realizing their full potential and advancing their careers. Today, our goal is to be the world's leading provider of online learning experiences with a global impact. By leveraging online learning, we assist students in preparing for bright futures in world-changing jobs. We provide a wide range of categories, including Accounting & IT, Programming, Creative, and more. Our courses are designed to stretch students intellectually through state-of-the-art online learning.

This Data Analyst: Data Analyst course is for anyone looking to develop their skills and knowledge in data analyst related fields, as well as for those-

• Wants to enhance Data Analyst: Data Analyst related skills and knowledge.
• Use data analyst related knowledge in his career or profession.
• Needs data analyst related skills for new job applications and opportunities.
• Who wants to learn Data Analyst: Data Analyst and apply in real life.
• Anyone who wants to demonstrate Data Analyst: Data Analyst to prospective employers or jobs.
• Anyone who wants to apply Data Analyst: Data Analyst course related skills and dive into relevant career paths.

Data Analyst: Data Analyst course does not require prior knowledge or experience. Anyone with a PC, tablet, or mobile phone can do the Data Analyst: Data Analyst course. It would be ideal for the learner to have:

• An open minded, a spirit of self-inspection, and willingness to improve himself/herself.
• A desire to improve business (and personal) knowledge and skills.
• The desire to enhance skills indata analysis.

This Data Analyst: Data Analyst course is exciting as it opens the doors to many professions related to data analyst. Prospective Data Analyst: Data Analyst course related career paths that include but are not limited to-

• Data analyst
• Data insight professional
• Business analyst

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