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Level 3 Data Analysis Professional Training: Data Science & Python Fundamentals
Bespoke Learning Solutions

Numpy > Pandas > Matplotlib > Python Dictionary > Python Loop > Python OOP > Python file handling

Summary

Price
£20 inc VAT
Study method
Online, On Demand 
Duration
3.7 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed Courses Certificate of Completion - Free
Additional info
  • Tutor is available to students

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Overview

Career Opportunities for Level 3 Data Analysis Professional Training in the UK:

  • Data Analyst: Use Data Analysis and Python for reporting and insights; salary range £30,000–£45,000 per annum.

  • Junior Data Scientist: Apply data science tools and Python programming; salary range £35,000–£55,000 per annum.

  • Business Intelligence Analyst: Support decision-making through Data Analysis; salary range £32,000–£50,000 per annum.

Learning Outcomes

  • Apply Data Analysis techniques using Python-based data science libraries.
  • Analyse and visualise datasets with NumPy, Pandas, and Matplotlib.
  • Write clean, efficient Python code for data-driven applications.
  • Use object-oriented programming for structured Python development.
  • Handle data files, errors, and modules confidently in Python.

Why Study This Level 3 Data Analysis Professional Training Course?

Data analysis is a fast-growing, high-value career in the UK, with average salaries around £45,000 and senior data professionals earning £75,000 or more. Job postings for data analysts have increased significantly in recent years, reflecting strong employer demand. This course prepares you with in-demand analytical skills for a well-paid role with excellent long-term career prospects.

Key Features of Level 3 Data Analysis Professional Training Course

  • 02 Courses Bundle
  • Instant Access
  • High-quality video tutorials and PDF Materials
  • Immediate e-certificate upon completion
  • Fully online, interactive Level 3 Data Analysis Professional Training course with audio narration
  • Flexible self-paced learning accessible on laptop, tablet, or smartphone
  • 24/7 support to assist with your learning journey

Certificates

Curriculum

7
sections
24
lectures
3h 42m
total

Course media

Description

Course Curriculum Breakdown:

➥ Course 01: Data Science and Data Analytics

Learn core Data Analysis concepts using Python libraries such as NumPy, Pandas, and Matplotlib to clean, analyse, and visualise data effectively.

Key Lessons-

  • Introduction to Data Science
  • Data Science Environment setup
  • Working with the Numpy package
  • Working with Pandas Data science package
  • Working with Matplotlib Data Science package

➥ Course 02: Certificate in Python Fundamentals

Build a strong foundation in Python, covering data types, loops, functions, object-oriented programming, file handling, and error management for data applications.

Key Lessons-

  • Working with Data Types
  • Python Strings
  • Python List
  • Python casting and Input
  • Python Dictionary
  • Python Date and Time
  • Python Loop
  • Python While Loop
  • Creating a Function
  • Python OOP
  • Python Advanced
  • Error handling
  • Python file handling
  • Python modules

Who is this course for?

This course will pave the way for higher study in the field of Data Analysis. You can enrol on higher level Data Analysis courses, such as:

  • Level 3 Diploma in Data Analysis
  • Level 4 Diploma in Data Analysis
  • Level 5 Diploma in Data Analysis
  • Level 6 Diploma in Data Analysis
  • Level 7 Diploma in Data Analysis and Machine Learning
  • Level 8 Diploma in Data Analysis and Machine Learning

Career path

  • Data analyst - £34,100 per annum
  • Data Scientist - £50,618 per annum
  • Data Engineer - £60,084per annum
  • Data Analytics Consultant - £56,444 per annum
  • Machine Learning Engineer - £56,631 per annum
  • Data science intern - £20,203 per annum

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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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Similar subjects: Data analysis, Python, Business, Coding
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