Skip to content

Data Analyst: Data Analyst (Data Analytics)

** New Year Sale ** 15-in-1 Bundle | FREE PDF Certificate + Transcript + Student ID | Premium Video Tutorials


Course Cloud

Summary

Price
Save 95%
£100 inc VAT (was £2,499)
Or £33.33/mo. for 3 months...
Offer ends 28 January 2022
Study method
Online, self-paced
Duration
104 hours
Access to content
Lifetime access
Qualification
No formal qualification
CPD
170 CPD hours / points
Additional info
  • Tutor is available to students
  • Certificate of completion available and is included in the price

2 students purchased this course

Add to basket or enquire

Overview

*** Use code NEWYEAR for an EXTRA 10% off ***

Data Analyst: Data Analyst (Data Analytics)

Statistics show that vacancies for data analysis roles such as data analysts, data scientists, and data engineers have increased 5X times over the last couple of years, and job posting for these roles has risen to 55%.

Unless you know what you're doing with it, data is merely numbers, words, or symbols. But, on the other hand, scraping vast amounts of raw data into meaningful information can be the key to skyrocketing your personal and your organisation's growth.

Whether it's market research, product research, positioning, customer reviews, sentiment analysis, or any other issue for which data is available, evaluating data will offer you the information you need to make the best decisions possible.

*** The problem ***

Most data analyst, data science, and coding courses miss a critical practical step. They don't teach you how to work with raw data or clean or prepare it for analysis. As a result, there is a significant gap between the skills you need for the data analyst job and the abilities you've learned in training. As a matter of fact, real-world data is messy, so you need to know how to overcome this obstacle to become an independent data analyst.

We've seen online and even live boot camps that ignore this issue and only teach you how to work with 'clean' data. But this isn't a good thing for you. In actuality, it will set you back both while seeking data analyst jobs and when you are already employed as a data analyst.

*** The solution ***

Our goal is to provide you with complete preparation to become a data analyst. And this extensive data analyst course will turn you into a job-ready data analyst. To take you there, we will cover the following fundamental topics extensively.

  • Theory about the field of data analytics
  • Data Analytics with Tableau
  • Google Data Studio
  • SQL, NoSQL, Big Data and Hadoop
  • MySQL Database
  • Nodejs MySQL
  • PHP & OOP Coding
  • Basic Python
  • Cyber Security
  • Working with text files
  • Data collection
  • Data cleaning
  • Data preprocessing
  • Data visualisation

♧♧ Excel your career by enhancing Data Analyst: Data Analyst (Data Analytics) skills with Course Cloud and get noticed by recruiters in this Hiring season! ♧♧

Each of these data analyst topics builds on the one before it. And it is for this reason that our data analyst program is so valuable. Everything is displayed in the correct order, and we guarantee that you will not get lost along the way because as we have provided all the necessary steps in video modules. To put it another way, we won't teach you how to analyse data unless you know how to gather and clean it.

As a result, we established The Data Analyst Course to prepare you for the entry-level job that leads to a data science role - data analyst.

In recent times the demand for Data Analysts has made a significant impact on the job market. The average salary for Data Analyst in the UK is £35,000 per annum in the entry-level, whereas an expert Data Analyst can get up to £55,000 per annum. However, expert Data Analyst earnings are expected to grow even more as the popularity of Data Analyst jobs is on the rise.

Courses included in this Data Analyst bundle:

  • Data Analyst Course 01: Introduction to Data Analysis
  • Data Analyst Course 02: Data Analytics with Tableau
  • Data Analyst Course 03: Basic Google Data Studio
  • Data Analyst Course 04: Google Analytics Masterclass
  • Data Analyst Course 05: Diploma in Data Engineering with Google BigQuery & Google Cloud
  • Data Analyst Course 06: SQL, NoSQL, Big Data and Hadoop Level 4
  • Data Analyst Course 07: MySQL Database Development
  • Data Analyst Course 08: Nodejs MySQL Login System Course
  • Data Analyst Course 09: MS Access Databases Forms and Reports Level 3
  • Data Analyst Course 10: Python Programming
  • Data Analyst Course 11: Statistics & Probability for Data Science & Machine Learning
  • Data Analyst Course 12: PHP & MySQL Web Development & OOP Coding
  • Data Analyst Course 13: Complete Data Structures
  • Data Analyst Course 14: Complete Computer Networking and Cyber Security
  • Data Analyst Course 15: Microsoft Excel from A-Z: Beginner To Expert

So, enrol in Data Analyst today & do your best! As what you plant now, you will harvest later. Become the person who would attract the results you seek. Grab this opportunity and start learning!

Certification

Once you have successfully completed the Data Analyst: Data Analyst (Data Analytics) Bundle, you will be awarded a PDF certificate for FREE as evidence of your achievement. Hardcopy certificates are £9.99 each, and other PDF certificates are available for just £6 apiece.

Note: Delivery of the hardcopy certificates inside the UK is £4.99 each; international students have to pay a total of £14.99 to get a hardcopy certificate.

CPD

170 CPD hours / points
Accredited by CPD QS

Course media

Description

The curriculum of the Data Analyst Bundle

Course 01: Introduction to Data Analysis

  • Data Analytics: Introduction
  • Data Analytics: Agenda and Principles of Process Management
  • Data Analytics: The Voice of the Process
  • Data Analytics: Working as One Team for Improvement
  • Data Analytics: Exercise: The Voice of the Customer
  • Data Analytics: Tools for Data Analysis
  • Data Analytics: The Pareto Chart
  • Data Analytics: The Histogram
  • Data Analytics: The Run Chart
  • Data Analytics: Exercise: Presenting Performance Data
  • Data Analytics: Understanding Variation
  • Data Analytics: The Control Chart
  • Data Analytics: Control Chart Example
  • Data Analytics: Control Chart Special Cases
  • Data Analytics: Interpreting the Control Chart
  • Data Analytics: Control Chart Exercise
  • Data Analytics: Strategies to Deal with Variation
  • Data Analytics: Using Data to Drive Improvement
  • Data Analytics: A Structure for Performance Measurement
  • Data Analytics: Data Analysis Exercise
  • Data Analytics: Course Project
  • Data Analytics: Test your Understanding

Course 02: Data Analytics with Tableau

  • Data Analytics: Introduction to the Course
  • Data Analytics: Project 1: Discount Mart (Sales and Profit Analytics)
  • Data Analytics: Project 2: Green Destinations (HR Analytics)
  • Data Analytics: Project 3: Superstore (Sales Agent Tracker)
  • Data Analyst 05: Northwind Trade (Shipping Analytics)
  • Data Analytics: Project 5: Tesla (Stock Price Analytics)
  • Data Analytics: Bonus: Introduction to Database Concepts
  • Data Analytics: Tableau Stories

Course 03: Basic Google Data Studio

  • Data Analytics: Introduction to GDS
  • Data Analytics: Data Visualization
  • Data Analytics: Geo-visualization
  • Data Analytics: A Socio-Economic Case Study

Course 04: Google Analytics Masterclass

  • Data Analytics: Overview
  • Data Analytics: Navigation and Admin
  • Data Analytics: Creating a New Google Analytics Account
  • Data Analytics: Website Account Creation
  • Data Analytics: Connecting To WordPress Website
  • Data Analytics: Connecting To HTML Site
  • Data Analytics: Connect Custom Page and Site Builders
  • Data Analytics: Setting Up Annotations
  • Data Analytics: Setting Up Intelligence Events
  • Data Analytics: Set Up Custom Segments
  • Data Analytics: Export Data for Analysis
  • Data Analytics: Set Up Custom Reports
  • Data Analytics: Set Up Google Integrations
  • Data Analytics: Google Analytics Templates
  • Data Analytics: Real Time Reporting
  • Data Analytics: Setting Up Goals
  • Data Analytics: Third Party Integrations
  • Data Analytics: Audience Menu Overview
  • Data Analytics: Interests and Geography
  • Data Analytics: Conclusion

Course 05: Diploma in Data Engineering with Google BigQuery & Google Cloud

  • Data Analytics: Introduction
  • Data Analytics: Introducing Data Warehouse & BigQuery
  • Data Analytics: First Exploration
  • Data Analytics: Data Flow Basic
  • Data Analytics: Diving into BigQuery
  • Data Analytics: Virtual Data using View
  • Data Analytics: Data Visualization
  • Data Analytics: Intermediate Query

Course 06: SQL, NoSQL, Big Data and Hadoop Level 4

  • Data Analytics: Introduction
  • Data Analytics: Relational Database Systems
  • Data Analytics: Database Classification
  • Data Analytics: Key-Value Store
  • Data Analytics: Document-Oriented Databases
  • Data Analytics: Search Engines
  • Data Analytics: Wide Column Store
  • Data Analytics: Time Series Databases
  • Data Analytics: Graph Databases
  • Data Analytics: Hadoop Platform
  • Data Analytics: Big Data SQL Engines
  • Data Analytics: Distributed Commit Log
  • Data Analytics: Summary

Course 07: MySQL Database Development

  • Data Analytics: Introduction
  • Data Analytics: Manipulating Tables and Data - CRUD Operations
  • Data Analytics: Relationships and Foreign Keys
  • Data Analytics: Aggregate Functions

Course 08: Nodejs MySQL Login System Course

  • Data Analytics: Introduction
  • Data Analytics: Creating the Server
  • Data Analytics: Connecting the Database
  • Data Analytics: Handlebars
  • Data Analytics: Home and Register Page
  • Data Analytics: Creating Routes
  • Data Analytics: Register User
  • Data Analytics: Login User
  • Data Analytics: User Profile Page
  • Data Analytics: Private Pages
  • Data Analytics: User Logout
  • Data Analytics: Project Files

Course 09: MS Access Databases Forms and Reports Level 3

  • Data Analytics: Creating a form with Autoform
  • Data Analytics: Using the Form Wizard
  • Data Analytics: Changing a form with design view
  • Data Analytics: Adding form controls
  • Data Analytics: Subforms
  • Data Analytics: Creating reports with Autoreport
  • Data Analytics: Using the Report Wizard to create a report
  • Data Analytics: Changing a report in design view
  • Data Analytics: Adding calculations
  • Data Analytics: Grouping, sorting and adding totals to reports
  • Data Analytics: Using the Label Wizard
  • Data Analytics: Form and table properties
  • Data Analytics: Exporting a report to Excel
  • Data Analytics: Using the Switchboard Manager to create a nice menu
  • Data Analytics: Finalizing the application

Course 10: Python Programming

  • Data Analytics: Introduction & Setup
  • Data Analytics: Basics
  • Data Analytics: Classes/Objects
  • Data Analytics: Regular Expressions
  • Data Analytics: CGI Programming
  • Data Analytics: Database
  • Data Analytics: Multithreading
  • Data Analytics: XML
  • Data Analytics: GUI

Course 11: Statistics & Probability for Data Science & Machine Learning

  • Data Analytics: Let's get started
  • Data Analytics: Descriptive statistics
  • Data Analytics: Distributions
  • Data Analytics: Probability theory
  • Data Analytics: Hypothesis testing
  • Data Analytics: Regressions
  • Data Analytics: Advanced regression & machine learning algorithms
  • Data Analytics: ANOVA (Analysis of Variance)
  • Data Analytics: Wrap up

Course 12: PHP & MySQL Web Development & OOP Coding

  • Data Analytics: Introduction & Setup
  • Data Analytics: Basics
  • Data Analytics: Control Structures
  • Data Analytics: Functions
  • Data Analytics: Forms
  • Data Analytics: File Handling
  • Data Analytics: MySQL
  • Data Analytics: XML
  • Data Analytics: AJAX
  • Data Analytics: Emails
  • Data Analytics: Object Oriented Programming
  • Data Analytics: Error Handling
  • Data Analytics: Advanced

Course 13: Complete Data Structures

  • Data Analytics: Introduction
  • Data Analytics: Arrays
  • Data Analytics: Liked List
  • Data Analytics: Stack
  • Data Analytics: Queues
  • Data Analytics: Priority Queues (PQs)
  • Data Analytics: Union Find
  • Data Analytics: Binary Search Trees
  • Data Analytics: Fenwick Tree
  • Data Analytics: Hash Tables
  • Data Analytics: Suffix Array
  • Data Analytics: AVL Trees
  • Data Analytics: Indexed Priority Queue
  • Data Analytics: Sparse Tables

Course 14: Complete Computer Networking and Cyber Security

  • Data Analytics: Introduction to Cyber Security Masterclass Course
  • Data Analytics: Complete Computer Networking for Cybersecurity and Ethical Hacking
  • Data Analytics: Networking Devices
  • Data Analytics: Getting Started with Cybersecurity!
  • Data Analytics: Fundamentals of Cybersecurity
  • Data Analytics: Key Security Concepts
  • Data Analytics: Cryptography - Securing your Data
  • Data Analytics: Introduction to Ethical Hacking
  • Data Analytics: Setting up your own Penetration Testing Lab
  • Data Analytics: Information Gathering - Reconnaissance
  • Data Analytics: Scanning and Enumeration

And much more!

Course 15: Microsoft Excel from A-Z: Beginner To Expert

  • Data Analytics: Excel from A-Z Course Introduction
  • Data Analytics: Getting Started With Excel
  • Data Analytics: Values, Referencing and Formulas
  • Data Analytics: Intro to Excel Functions
  • Data Analytics: Adjusting Excel Worksheets
  • Data Analytics: Visually Pleasing Cell Formatting
  • Data Analytics: How to Insert Images and Shapes!
  • Data Analytics: Visualize Data with Charts
  • Data Analytics: Excel’s Printing Options

And much more!

Who is this course for?

The Data Analyst: Data Analyst (Data Analytics) Bundle course is primarily for motivated learners looking to add a new skill to their CV and stand head and shoulders above the competition. Anyone of any academic background can enrol on this Data Analyst: Data Analyst (Data Analytics) Bundle course. However, this Data Analyst: Data Analyst (Data Analytics) course is preferable for:

  • Early-stage or aspiring data or business analysts looking to boost their qualitative and quantitative data analysis skills.
  • Business professional working in a role that requires data analytics skills.
  • Business or arts graduates looking to start their first professional role by adding required quantitative skills such as data analysis.

Requirements

  • Eagerness to learn Data Analyst: Data Analyst (Data Analytics)
  • Must have access to a PC, laptop, tablet or smartphone with Wi-Fi
  • There are no specific entry requirements for this Data Analyst: Data Analyst (Data Analytics)course, which can be studied on a part-time or full-time basis

Career path

Anyone with an interest in Data will find our comprehensive course beneficial. Master the necessary skills to take a step closer to success with our Data Analyst: Data Analyst (Data Analytics) bundle. Up your skills and explore opportunities such as —

  • Data Analyst (£30k - £35k Per Annum)
  • Data Science Engineer (£35k - £55k Per Annum)
  • Data Science Director (£120k - £165k Per Annum)

And many more!

Questions and answers

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

Reviews

Currently there are no reviews for this course. Be the first to leave a review.

FAQs

What does study method mean?

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.

What are CPD hours/points?

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.

What is a ‘regulated qualification’?

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.

What is an ‘endorsed’ course?

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.