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Data Analyst: 9 in 1 Data Analysis Career Bundle

9 in 1 bundle | Gain competencies in Data Analysis | Free PDF Certificate | Support


Blackboard Learning

Summary

Price
£40 inc VAT
Study method
Online
Course format What's this?
Video
Duration
27 hours · Self-paced
Access to content
365 days
Qualification
No formal qualification
Certificates
  • Certificate of completion - Free
Additional info
  • Tutor is available to students

Add to basket or enquire

Overview

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 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 analyst skills to better understand the ESP32 + databases, data science & machine learning, and Python 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 course will demystify data analysts 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 analyst 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 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 9 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: Access Databases Volume2 - Forms and Reports

Course 6: ESP32 + Databases to Control Anything Anywhere

Course 7: Learn Python for Data Science & Machine Learning from A-Z

Course 8: Learn Data Science and Machine Learning with R from A-Z

Course 9: Arduino Data Visualization using Python

Certificates

Certificate of completion

Digital certificate - Included

Description

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 analysis 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
  • A Statement
  • INNER Join

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: Access Databases Volume2 - Forms and Reports

  • Auto forms
  • Form Wizard
  • Changing a form with a design view
  • Adding controls to your form
  • Subforms
  • Using auto report to create a report
  • Using the report wizard to create a report
  • Changing a report in the design view

Course 6: 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
  • Download and Install Arduino ESP32 v1 Development environment
  • Load Your First Code to ESP32 Board
  • Hosting and website Domain
  • Hosting Your Website
  • Databases
  • Creating SQL table
  • SQL Query Code
  • PHP
  • PHP Script to Insert Data in Database
  • Post Data Php Code
  • Post to database code PHP
  • PHP Script to Display readings
  • Display Data PHP Code
  • Display data
  • Coding
  • Coding ESP Part1
  • Coding ESP Part2
  • The Code
  • new Code
  • Practical Live Demonstration
  • Practical Live Demonstration
  • Add Actual Sensors and display Reading on the page
  • Extra
  • Download and Install Arduino Pro IDE
  • ESp 32 Pinout v1 DOIT

Course 7: 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

Course 8: 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 9: Arduino Data Visualization using Python

  • Introduction & Getting Started
  • Introduction
  • Who We Are?
  • Hardware and Software Requirements
  • Important Note: Review System
  • Important Note: Review System

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.

Who is this course for?

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 it in real life?
  • Anyone who wants to demonstrate Data Analyst: Data analysis to prospective employers or jobs.
  • Anyone who wants to apply Data Analyst: Data Analyst course-related skills and dive into relevant career paths.

Requirements

Data Analyst: The 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 mind, a spirit of self-inspection, and a willingness to improve himself/herself.
  • A desire to improve business (and personal) knowledge and skills.
  • The desire to enhance skills in data analysis.

Career path

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

  • Data analyst
  • Data insight professional
  • Business analyst

Questions and answers

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FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.