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Data Analytics Course (For Beginners)
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 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, thiscourse covers important areas including data fundamentals, statistical concepts, data cleaning, exploratory data analysis, Excel, Python, Pandas, data visualization, statistical analysis, 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, thiscourse 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 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 Course includes:

  • CPD accreditation
  • Free Reed digital certificate instantly upon course completion
  • Content developed by experienced data analytics professionals
  • Lifetime access and flexible learning
  • Dedicated tutor support throughout your studies

Learning Outcomes

By completing this 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 key data preprocessing techniques
  • Explore Exploratory Data Analysis and data exploration methods
  • Understand data wrangling and manipulation using Pandas
  • Explore methods for organizing and transforming datasets
  • Understand the principles of effective data visualization
  • Learn about Matplotlib and Seaborn for creating data visualizations
  • Develop knowledge of statistical analysis principles and techniques
  • Understand the fundamental concepts of machine learning
  • Build confidence when working with datasets and analytical tools
  • Develop 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 51m

    • 1: Module 01: Foundations of Data Analytics 16:00
    • 2: Module 02: Data Fundamentals and Statistical Concepts 08:00
    • 3: Module 03: Data Collection Methods and Data Sources 13:00
    • 4: Module 04: Data Cleaning and Preprocessing Techniques 09:00
    • 5: Module 05: Exploratory Data Analysis (EDA) 11:00
    • 6: Module 06: Excel Fundamentals for Data Analytics 08:00
    • 7: Module 07: Python Fundamentals for Data Analytics 06:00
    • 8: Module 08: Data Wrangling with Pandas in Python 06:00
    • 9: Module 09: Data Visualisation with Matplotlib and Seaborn 05:00
    • 10: Module 10: Fundamentals of Statistical Analysis 08:00
    • 11: Module 11: Introduction to Machine Learning 10:00
    • 12: Module 12: Capstone Project: Exploratory Data Analysis 08:00
    • 13: Data Analytics Course (For Beginners) 03:00

Description

This 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, visualisation, and interpretation.

You will then explore the fundamentals of machine learning for data analytics, gaining an introductory understanding of how machine learning techniques can be applied within data-driven workflows.

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) and Data Exploration
  • Module 06: Excel Fundamentals and Applications in Data Analytics
  • Module 07: Python Fundamentals for Data Analytics
  • Module 08: Data Wrangling and Manipulation with Pandas
  • Module 09: Data Visualisation with Matplotlib and Seaborn
  • Module 10: Principles and Techniques of Statistical Analysis
  • Module 11: Fundamentals of Machine Learning for Data Analytics
  • Module 12: Capstone Project – Exploratory Data Analysis (EDA)

How will I get my certificate?

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

Who is this course for?

This course is ideal for:

  • Beginners interested in learning data analytics
  • Students looking to develop practical data skills
  • Individuals interested in working with datasets and analytical tools
  • Business professionals interested in data-driven decision-making
  • Aspiring data analysts seeking foundational knowledge
  • Entrepreneurs and business owners interested in understanding business data

Requirements

There are no specific requirements to enroll in thiscourse. 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 thiscourse 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.

Questions and answers

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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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