Introduction To Data Analysis Course

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 analysis projects, or within your organization. You will benefit from the unique pedagogy and multidisciplinary approach of BlackBoard Learning—an institution at the forefront of research and online learning—as you develop data analysis skills to better understand sorting the query with the order by the statement, changing a report in design view, and introduction to machine learning 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: The Data Analyst course prepares you to become a change-maker with the skills to drive your career or organization forward.

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

After completing the Data Analyst: Data Analyst (Data Analytics) 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 analysis sector.

Courses included in this Data Analyst: Data Analyst (Data Analytics) bundle course:

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

This Data Analyst: Data Analyst (Data Analytics) course is a course consisting of 15 courses with many data analysis-related topics.

You will get in this bundle course-

Course 1: SQL Queries 101

Course 2: The Complete MS SQL Course Content

Course 3: MySQL Course

Course 4: Excel Data Analysis

Course 5: Building Robust Excel Models with Power Query, formulas, and VBA

Course 6: Compare two workbooks to find matches and variances with Excel VBA Tool

Course 7: Access Databases Volume2 - Forms and Reports

Course 8: ESP32 + Databases to Control Anything Anywhere

Course 9: Learn Python for Data Science & Machine Learning from A-Z

Course 10: Arduino Data Visualization using Python

Course 11: Arduino EEPROM Store Data Permanently on your Arduino

Course 12: Learn Data Science and Machine Learning with R from A-Z

Course 13: PLC Advance Course Data Registers and Internal Relays

Course 14: Clean Sensor Data with Filters

Course 15: Business Intelligence and Data Mining

Certificate of completion

Digital certificate - Included

The Data Analyst: Data Analyst (Data Analytics) 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 (Data Analytics) course providers.

Curriculum for Data Analyst: Data Analyst (Data Analytics) bundle courses:

Course 1: SQL Queries 101

• Unzipping the sample files.

• Creating the sample database.

• Basic Select Statements.

• Sorting the query with the order by statement.

• Using the where statement to filter the query.

• Creating subtotals using the group by statement.

• Introduction to using the join statement to create queries from more than 1 table.

Course 2: The Complete MS SQL Course Content

• Course Introduction

• Introduction

• Course Curriculum Overview

• Overview of Databases

• SQL Environment Setup

• MSSQL Installation

• MSSQL Management Studio Installation

• Connecting to MS-SQL (Windows Authentication)

• Connecting to MS-SQL (SQL Server Authentication)

• SQL Query Operators

• ORDER BY

• TOP in MSSQL

• BETWEEN

• IN

• LIKE

• Overview of GROUP BY

• Aggregation Function – SUM()

• Aggregation Function – MIN()-MAX()

• GROUP BY – One(theory)

• GROUP BY – Two(practical)

• HAVING

Course 3: MySQL Course

• Section 1 Introduction

• Intro

• Section 2 Installation

• Installing Xampp

• Section 3 First Steps and Basics

• Creating and dropping DBs

• Creating Tables

• Dropping Tables

• Inserting into Tables

• Updating and Deleting

• Data Types

• Operators

• Section 4 Constraints and Functions

• Primary Keys

• Foreign Keys

• Functions

• Section 5 Clauses

• Select with Where

• Order By

• Group By

• Section 6 Alters

• Alters

• Section 7 Joins

• Aliases

• Inner Join

• Left and Right Joins

Course 4: Excel Data Analysis

• Excel Data Analysis - Part 1

• Excel Data Analysis - Part 2

• Excel Data Analysis - Part 3

• Excel Data Analysis - Part 4

• Excel Data Analysis - Part 5

• Excel Data Analysis - Part 6

• Excel Data Analysis - Part 7

• Excel Data Analysis - Part 8

• Excel Data Analysis – Part 9

Course 5: Building Robust Excel Models with Power Query, formulas, and VBA

• Introduction.

• Prepaid expense models (resources).

• Accounting for prepaid expenses.

• Excel formulas detailed (Intro to three Excel models).

• Formula-based prepaid expenses model (schedule).

• Calculate prepaid expenses Amortization from the exact start date (the payment date).

• Prepaid expenses summary with Power Query and Pivot Table.

• Thank you and super bonus.

Course 6: Compare two workbooks to find matches and variances with Excel VBA Tool

Course 7: Access Databases Volume2 - Forms and Reports

• Auto forms

• Form Wizard

• Changing a form with a design view

• Adding controls to your form

• Subforms

• Using autorepeat to create a report

• Using the report wizard to create a report

Course 8: ESP32 + Databases to Control Anything Anywhere

• Introduction & Getting Started

• Introduction

• Who We Are

• Hardware And Software Requirements

• Important Note Review the System

• Important Note Review the System

Course 9: Learn Python for Data Science & Machine Learning from A

• Section 1: Introduction to Python for Data Science & Machine Learning from A-Z

• Who is this course for?

• Data Science + Machine Learning Marketplace

• Data Science Job Opportunities

• Data Science Job Roles

• What is a Data Scientist?

• How to Get a Data Science Job

• Data Science Projects Overview

• Section 2: Data Science & Machine Learning Concepts

• Why We Use Python

• What is Data Science?

• What is Machine Learning?

• Machine Learning Concepts & Algorithms

• What is Deep Learning?

• Machine Learning vs. Deep Learning

• Section 3: Python for Data Science

• What is Programming?

• Why Python for Data Science?

• What is Jupiter?

• What is Google Cola?

• Python Variables, Booleans

• Getting Started with Google Collab

• Python Operators

• Python Numbers & Booleans

• Python Strings

• Python Conditional Statements

• Python For Loops and While Loops

• Python Lists

• More about Lists

• Python Tuples

• Python Dictionaries

• Python Sets

• Compound Data Types & When to use each one?

• Python Functions

• Object-Oriented Programming in Python

Course 10: 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

Course 11: 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

Course 12: 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

Course 13: 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

Course 14: Clean Sensor Data with Filters

• Introduction & Getting Started

• Introduction

• Who We Are

• Important Note Review the System

• Important Note Review the System

• Moving Average Filter

• What is A Moving Average Filter

• Coding Moving Average Filter

• Moving Average Filter Result

• The Code

Course 15: Business Intelligence and Data Mining

• What is business intelligence?

• A strong case for understanding BI needs in different phases of business.

• The decision-making process and need for the IT system.

• Problem structure and decision support system.

• Introduction to BI Applications.

• Dashboard presentation systems.

• Different types of charts are used in BI dashboards.

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 (Data Analytics) course is for anyone looking to develop their skills and knowledge in data analysis-related fields, as well as for those-

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

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

• An open mind, 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 in data analysis.

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

• Business Intelligence Analyst
• Data Analyst
• Data Analytics Consultant

Currently there are no Q&As for this course. Be the first to ask a question.