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Data Analytics Complete Course
Proedge Training

Advanced Level | 14 Day Money Back Guarantee | Free PDF Certificate | Tutor Support | Lifetime Access | 24/7 Support

Summary

Price
£15 inc VAT
Study method
Online, On Demand 
Course format
12 PDFs and 1 Quiz
Duration
1.8 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed Courses Certificate of Completion - Free
  • Hard copy certificate - £15
Additional info
  • Tutor is available to students

Add to basket or enquire

Overview

The Data Analytics: Data Analytics Complete Course is designed to provide learners with a practical understanding of how data is collected, prepared, analyzed, interpreted, and presented to support informed decision-making. It introduces the essential concepts, tools, techniques, and workflows used in modern data analytics.

Whether you are completely new to data analytics or looking to strengthen your existing knowledge, this Data Analytics Complete course covers important areas including data fundamentals, statistical concepts, data cleaning, exploratory data analysis, Excel, Python, Pandas, data visualization, and introductory machine learning.

So, if you want to develop practical data analytics knowledge, understand how analytical tools are used, and build confidence working with datasets, this Data Analytics Complete course provides a structured learning pathway from fundamental concepts to a hands-on capstone project.

From collecting and preparing data to analyzing datasets and creating meaningful visualizations, this Data Analytics Complete course provides valuable knowledge that can support further learning and professional development in data analytics. So, why wait? Enroll today and start developing your data analytics knowledge and practical skills.

Key Features

This Data Analytics Course includes:

  • CPD Accredited Certificate
  • Beginner-Friendly Learning
  • Practical Data Analytics Skills
  • Excel & Python Fundamentals
  • Data Cleaning & Visualisation
  • Flexible Online Learning
  • Career-Focused Course Content

Learning Outcomes

By completing this Data Analytics Course, you will be able to:

  • Understand the foundations and purpose of data analytics
  • Develop knowledge of fundamental data concepts and terminology
  • Explore key statistical concepts relevant to data analysis
  • Understand different data collection methods and data sources
  • Learn how raw data can be cleaned and prepared for analysis
  • Understand the principles of data preprocessing
  • Explore techniques used in Exploratory Data Analysis (EDA)
  • Develop foundational Excel skills for data analytics
  • Understand the fundamentals of Python for data analysis
  • Learn how Pandas can be used for data wrangling
  • Explore methods for organizing, transforming, and analyzing datasets
  • Understand the principles of data visualization
  • Learn about Matplotlib and Seaborn for creating data visualizations
  • Develop knowledge of fundamental statistical analysis techniques
  • Understand the basic principles and applications of machine learning
  • Explore how machine learning relates to data analytics
  • Apply key data analytics concepts through a capstone project
  • Develop greater confidence when working with datasets
  • Build a foundation for further study and professional development in data analytics

Certificates

Curriculum

This course contains

Format: 12 PDFs and 1 Quiz

Duration: 1h and 50m

    • 1: Module 01: Data Analytics Essentials and Industry Overview 16:00
    • 2: Module 02: Data Concepts, Statistics, and Analytical Foundations 08:00
    • 3: Module 03: Data Acquisition, Sources, and Collection Strategies 13:00
    • 4: Module 04: Data Preparation, Cleaning, and Quality Management 09:00
    • 5: Module 05: Exploratory Analysis, Patterns, and Data Insights 11:00
    • 6: Module 06: Microsoft Excel for Data Analysis and Reporting 08:00
    • 7: Module 07: Python Programming Fundamentals for Data Analytics 06:00
    • 8: Module 08: Data Transformation and Manipulation with Pandas 06:00
    • 9: Module 09: Data Visualisation and Analytical Storytelling with Python 05:00
    • 10: Module 10: Statistical Methods for Data-Driven Analysis 08:00
    • 11: Module 11: Machine Learning Concepts and Predictive Analytics 10:00
    • 12: Module 12: Capstone Project: Applying Exploratory Data Analysis Techniques 08:00
    • 13: Data Analytics Complete Course 02:00

Description

This Data Analytics: Data Analytics Complete Course is designed to provide a comprehensive understanding of the knowledge and practices involved in working with data, from initial collection and preparation through to analysis, visualization, and interpretation.

You'll begin by exploring the foundations of data analytics, including fundamental data concepts, statistical principles, data collection methods, and different sources of data. You will then learn about data cleaning and preprocessing techniques, helping you understand how raw datasets can be prepared for meaningful analysis.

Moreover, the Data Analytics Complete course introduces Exploratory Data Analysis (EDA) and provides practical foundations in Excel and Python for data analytics. You will explore how Python can be used for analytical tasks and learn about data wrangling with Pandas, enabling you to work with and manipulate datasets more effectively.

The Data Analytics Complete course then covers data visualization using Matplotlib and Seaborn alongside fundamental statistical analysis. You will also be introduced to the core concepts of machine learning and how machine learning fits within the wider data analytics landscape.

Finally, the Data Analytics Complete course brings together key concepts through a capstone project focused on Exploratory Data Analysis. This provides an opportunity to apply the knowledge developed throughout the Data Analytics Complete course and gain a clearer understanding of the practical data analytics workflow.

Data Analytics Course – Course Curriculum

  • Module 01: Foundations of Data Analytics
  • Module 02: Data Fundamentals and Statistical Concepts
  • Module 03: Data Collection Methods and Data Sources
  • Module 04: Data Cleaning and Preprocessing Techniques
  • Module 05: Exploratory Data Analysis (EDA)
  • Module 06: Excel Fundamentals for Data Analytics
  • Module 07: Python Fundamentals for Data Analytics
  • Module 08: Data Wrangling with Pandas in Python
  • Module 09: Data Visualisation with Matplotlib and Seaborn
  • Module 10: Fundamentals of Statistical Analysis
  • Module 11: Introduction to Machine Learning
  • Module 12: Capstone Project: Exploratory Data Analysis

How will I get my certificate?

Once you complete this Data Analyticscourse, you’ll immediately get a FREE course completion certificate from REED.

Who is this course for?

This Data Analytics Complete course is ideal for:

  • Aspiring Data Analysts
  • Business Professionals
  • Students and Graduates
  • Entrepreneurs and Business Owners
  • Professionals looking to develop data skills
  • Beginners interested in analytics and technology

Requirements

There are no specific requirements to enroll in this Data Analytics Complete course. Any individual, regardless of background, principle, or experience level, is welcome to join. However, you should have:

  • Decent English language fluency
  • Basic computer operating knowledge
  • Interest in data analytics, data analysis, and technology

Career path

Completing this Data Analytics Complete course can support roles such as Junior Data Analyst, Data Analytics Assistant, Reporting Assistant, Business Intelligence Assistant, or provide a foundation for further study and professional development in data analytics, data science, business intelligence, and related fields.

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Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

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.
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