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Data Analysts: Data Science and Data Analytics with Python - CPD Certified

Python Strings | Python casting and Input | Python Dictionary | Python Loop | Creating a Function | Python OOP

Skill Arts

Summary

Price
Save 7%
£12 inc VAT (was £12.99)
Offer ends 31 May 2025
Study method
Online, On Demand What's this?
Duration
3.7 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Accredited Certificate on Data Science & Python Course from SkillArts - Free
  • Reed Courses Certificate of Completion - Free
Additional info
  • Tutor is available to students
2 students purchased this course

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Overview

Why Study This Data Science & Python - CPD Certified Diploma?

  • The average salary for a Data Analyst in the UK is reported to be around £45,000 per year.
  • A recent Indeed study showed a 38% rise in data analyst job postings from 2020 to 2023.
  • Data scientists can earn over £75,000, with higher global salaries based on experience and location.
  • This course equips you with skills for a high-demand, well-paying field with excellent career prospects.

Learning Outcomes:

  • Master basic to advanced Python programming.
  • Develop skills in working with various Python data types.
  • Handle errors and manage files efficiently in Python.
  • Utilize key data science packages: Numpy, Pandas, and Matplotlib.
  • Conduct complex data analysis and visualization tasks.

CPDQE Accreditation

This Data Science & Python Course is CPDQE accredited. CPD is a globally recognised parameter for continuous professional development acknowledged by thousands of professional bodies, employers and academic institutions in the UK and around the world.

Dual Certificates

After completing this Data Science & Python Course, you will receive a course completion certificate from Reed. Also, you will receive an Accredited Certificate of Completion From SkillArts.

Certificates

Accredited Certificate on Data Science & Python Course from SkillArts

Digital certificate - Included

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

Curriculum

20
sections
26
lectures
3h 44m
total

Course media

Description

This Data Science & Python Bundle Comes up with the following courses:

Course 01: Diploma in Python Fundamentals

➽ Introduction to Python: Learn the basics of Python programming, setting the foundation for further study in Data Science & Python.

➽ Working with Data Types: Understand and manipulate various Python data types essential for data science tasks.

➽ Python Strings: Master string operations, a crucial skill in Data Science & Python.

➽ Python List: Learn to work with lists, a fundamental data structure in Python.

➽ Python Casting and Input: Handle data type conversions and user input in Python.

➽ Python Dictionary: Work with dictionaries, enabling efficient data storage and retrieval in Python.

➽ Python Date and Time: Manage date and time data in Python applications.

➽ Python Loop Part 1: Learn looping constructs to automate repetitive tasks in Python.

➽ Python Loop Part 2: Advanced looping techniques in Python for efficient coding.

➽ Python While Loop: Implement while loops for specific repetitive conditions in Python.

➽ Creating a Function: Write reusable code with functions in Python.

➽ Python OOP Part 1: Introduction to object-oriented programming concepts in Python.

➽ Python OOP Part 2: Deepen your understanding of OOP in Python.

➽ Python Advanced OOP Part 1: Advanced OOP techniques in Python for complex data structures.

➽ Python Advanced OOP Part 2: Further advanced OOP applications in Python.

➽ Error Handling: Learn to manage and handle errors gracefully in Python code.

➽ Python File Handling: Efficiently manage file operations in Python.

➽ Python Modules: Utilize built-in and custom modules in Python to enhance functionality.

Course 02: Data Science and Data Analytics

➽ Introduction to Data Science: Gain an overview of the field of Data Science & Python, including key concepts and methodologies.

➽ Data Science Environment Setup: Learn to set up a robust environment for Data Science & Python projects.

➽ Working with the Numpy Package: Master numerical operations using Numpy, essential for data manipulation in Data Science & Python.

➽ Working with Pandas Data Science Package: Learn to handle and analyze data with the Pandas package, a cornerstone of Data Science & Python.

➽ Working with Matplotlib Data Science Package Part 1: Introduction to data visualization using Matplotlib in Data Science & Python.

➽ Working with Matplotlib Data Science Package Part 2: Advanced data visualization techniques with Matplotlib, enhancing your skills in Data Science & Python.

Who is this course for?

  • Data analyst
  • Data Scientist
  • Data Analytics Consultant
  • Data science intern
  • Python Data Scientist
  • Python Developer
  • Python Data Analyst

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

  • Level 3 Diploma in Data Science
  • Level 5 Diploma in Data Science
  • Level 7 Diploma in Data Science
  • Postgraduate Diploma in Data Science
  • MSc Data Science
  • Level 3 Certificate in Data Science Fundamentals
  • Level 3 Award in Data Science for Business
  • Higher National Certificate (HNC) in Data Science
  • Higher National Diploma (HND) in Data Science
  • BTEC Level 5 Higher National Diploma in Data Science
  • Level 2 Award in Python Programming
  • Level 3 Award in Python Programming
  • Level 2 Certificate in Python Programming
  • Level 3 Certificate in Python Programming
  • Level 2 Diploma in Python Programming
  • Level 3 Diploma in Python Programming
  • Level 4 Certificate in Python Programming
  • Level 4 Diploma in Python Programming
  • Level 5 Certificate in Python Programming
  • Level 5 Diploma in Python Programming

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Reviews

4.6
Course rating
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Service
100%
Content
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Value

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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