Data Analyst: Step To Step Data Analyst

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 organisation. 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 Esp. 32 Pinout v1 DOIT, SQL CRUD operations , and VBA 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 organisation forward.

Data Analyst: Data Analyst course will demystify data analyst and give you the toolkit to make better contributions and to become an even greater asset to your organisation. 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 analyst. Skills development in data analyst leads you to career development in the data analyst sector.

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

Enrol 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 10 courses with many data analyst related topics.

You will get in this bundle course-

Course 1: SQL Queries 101

Course 2: The Complete MS SQL Course Content

Course 3: Excel Model 101 - Google Drive

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

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: 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 Statement Basics

• Overview of Challenges

• SQL Statement Basic

• SELECT Statement

• SELECT DISTINCT

• Column AS Statement

• COUNT

• Filtering Data Rows

• SELECT WHERE Clause – One

• SELECT WHERE Clause – Two

• 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

• JOINS

• Overview of JOINS

• Introduction to JOINS

• AS Statement

• INNER Join

• Full Outer Join

• Left Outer Join

• Right Outer Join

• Union

• Advanced SQL Commands

• Basic of Advanced SQL Commands

• Timestamp

• Extract from Timestamp

• Mathematical Scalar Functions

• String Functions

• Sub Query

• Creating Database and Tables

• Basic of Database and Tables

• Data Types

• Select Data type on SSMS

• Create Table on SSMS

Course 3: Excel Model 101 - Google Drive

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 exact start date (payment date).

• Prepaid expenses summary with Power Query and Pivot Table.

• Advanced VBA prepaid expenses Amortization model.

• Bonus: Dynamic dashboard for divisional profit and loss statement(easy way).

• 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 design view

• Adding controls to your form

• Sub forms

• Using auto report to create a report

• Using the report wizard to create a report

• Changing a report in design view

• Adding calculations to your report

• Adding groups, sorts and totals to reports

Course 8: ESP32 + Databases to Control Anything Anywhere

• Introduction & Getting Started

• Introduction

• Who We Are

• Hardware And Software Requirements

• Important Note Review System

• Important Note Review System

• Getting Coding Environment Ready

• Download and install Arduino ESP and USB Driver

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

• 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 Collab?

• 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

• Section 4: Statistics for Data Science

• Intro To Statistics

• Descriptive Statistics

• Measure of Variability

• Measure of Variability Continued

• Measures of Variable Relationship

• Inferential Statistics

• Measure of Asymmetry

• Sampling Distribution

• Section 5: Probability and Hypothesis Testing

• What Exactly is Probability?

• Expected Values

• Relative Frequency

• Hypothesis Testing Overview

• Section 6: Numbly Data Analysis

• Intro Numbly Array Data Types

• Numbly Arrays

• Numbly Arrays Basics

• Numbly Array Indexing

• Numbly Array Computations

• Broadcasting

• Section 7: Pandas Data Analysis

• Intro To Pandas

• Intro To Pandas Continued

• Section 8: Python Data Visualization

• Data Visualization Overview

• Different Data Visualization Libraries in Python

• Python Data Visualization Implementation

Course 10: 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

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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Certificate of completion

Digital certificate - Included