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Data Analysis (Beginner) Course
School of Health Care

Special Offer | Free PDF Certificate | Free Retake Exam | Lifetime Access | Expert Support | No Hidden Fees

Summary

Price
£19 inc VAT
Study method
Online, On Demand 
Course format
12 PDFs and 1 Quiz
Duration
0.1 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed Courses Certificate of Completion - Free
Assessment details
  • Data Analysis (Beginner) Course (included in price)
Additional info
  • Tutor is available to students
14 students purchased this course

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Overview

Data Analysis (Beginner): Course Online

Are you trying to get the knowledge and abilities required to excel in data analysis at the beginner level? Our Data Analysis Course (Beginner) could be your perfect option for this.

The Data Analysis Course (Beginner) offers comprehensive training in data analysis methodologies and tools. The Data Analysis Course (Beginner) covers topics such as data cleaning, visualisation, and statistical analysis. Also, the Data Analysis Course (Beginner) teaches programming in Python or R. Moreover, the Data Analysis Course (Beginner) equips students with essential skills for deriving insights from data. This Data Analysis Course (Beginner) explains data manipulation and interpretation.

Enrol in our Data Analysis Course (Beginner) to prepare them for careers in data analysis across various industries.

Main Course: Data Analytics Course (Beginner)

[ Note: Free PDF certificate as soon as completing the Data Analysis (Beginner): Course]

Certificates

Assessment details

Data Analysis (Beginner) Course

Included in course price

Curriculum

This course contains

Format: 12 PDFs and 1 Quiz

Duration: 1h and 49m

    • 1: Module 1: Introduction to Data Analytics 15:00
    • 2: Module 2: Basics of Data and Statistics 08:00
    • 3: Module 3: Data Collection and Sources 13:00
    • 4: Module 4: Data Cleaning and Preprocessing 09:00
    • 5: Module 5: Exploratory Data Analysis (EDA) 11:00
    • 6: Module 6: Introduction to Excel for Data Analytics 07:00
    • 7: Module 7: Introduction to Python for Data Analytics 06:00
    • 8: Module 8: Data Wrangling with Pandas (Python) 06:00
    • 9: Module 9: Data Visualisation with Matplotlib and Seaborn (Python) 04:00
    • 10: Module 10: Introduction to Basic Statistical Analysis 08:00
    • 11: Module 11: Introduction to Machine Learning 09:00
    • 12: Module 12: Capstone Project - Exploratory Data Analysis 07:00

    • 13: Data Analysis (Beginner) 06:00

Description

Data Analysis (Beginner): Course

This Data Analysis (Beginner): Training Course consists of 12 modules.

Learning Outcomes

On completion of this Data Analysis Course, learners will be able to:

  • Understand the fundamentals of Data Analysis.
  • Explore data collection and organisation.
  • Develop basic data cleaning skills.
  • Interpret data and identify key patterns.
  • Understand basic statistical concepts.
  • Create clear data visualisations.
  • Develop practical Data Analysis skills.
  • Use data insights to support decision-making.

Course Completion Certificate

After completing the Data Analysis Course, you will receive a free PDF certificate for the Course

Who is this course for?

Data Analysis (Beginner): Course

This Data Analysis (Beginner): Course is recommended for anyone looking to advance in their data analysis career.

Requirements

Data Analysis (Beginner): Course

To enrol in this Data Analysis (Beginner): Course, students must fulfil the following requirements:

  • Good Command over English language is mandatory to enrol in our Course.
  • Be energetic and self-motivated to complete our Course.
  • Basic computer Skill is required to complete our Course.
  • If you want to enrol in our Course, you must be at least 15 years old.

Career path

Data Analysis (Beginner): Course

The Data Analysis (Beginner): Course opens up a wide range of work prospects, especially in the UK labour market.

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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