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Course Overview
Looking to build your career in data science and analytics in the UK? Start your journey with the Python Data Science with NumPy, Pandas and Matplotlib Complete Training. This best-selling and highly rated programme provides essential knowledge to work effectively in various analytical and technical environments, including corporate offices, IT firms, research institutions, and business settings.
This CPD-accredited online data science course is tailored for individuals seeking flexible, certified training that builds strong foundational skills in Python programming, data manipulation, and visualisation. Whether you’re new to coding or looking to upskill, this course provides a complete foundation to excel in data analysis and data-driven decision-making across the UK.
Course Overview
Structured into 35+ focused modules, this Python Data Science course covers crucial topics, including:
- Introduction to Python, Pandas, and NumPy
- Setting up your Python environment for data science projects
- Working with Python strings, lists, sets, tuples, and dictionaries
- Using NumPy for numerical computations and multi-dimensional arrays
- Handling and analysing data with Pandas Series and DataFrames
- Reading and writing CSV, Excel, and JSON files
- Managing missing data, duplicates, and sorting datasets
- Merging, joining, concatenating, and aggregating data
- Using advanced Pandas features like hierarchical indexing and mapping
- Visualising data with Matplotlib: graphs, histograms, and plots
This course provides a comprehensive foundation to excel in various analytical, business, and technical environments across the UK. It builds your understanding of how to manage, clean, and visualise data using Python libraries that dominate the global data science industry. Additionally, it strengthens your analytical thinking and technical problem-solving abilities, ensuring you develop into a competent and confident data science professional.
Learning Outcomes
By completing this CPD-accredited Python Data Science course, you will:
- Gain a deep understanding of Python programming essentials for data analysis
- Learn to use NumPy for efficient mathematical computations and data operations
- Master Pandas for cleaning, transforming, and aggregating complex datasets
- Create stunning data visualisations using Matplotlib and Python plotting techniques
- Develop skills to manage large datasets, missing values, and real-world data challenges
- Learn how to read and write data in multiple file formats, including CSV, Excel, and JSON
- Understand how to merge, group, and aggregate datasets for better insights
- Build confidence in using Python for data-driven projects and reporting tasks
- Apply data manipulation skills in business, research, and analytics environments
- Boost your professional profile with a CPD-certified data science credential
Why Enrol in This Course?
By enrolling in this CPD-accredited Python Data Science with NumPy, Pandas and Matplotlib course UK, you’ll gain essential skills and certification to thrive in today’s data-driven world. This online training is structured around real-world data analysis techniques used by data analysts, business professionals, and developers. With 24/7 flexible online access, you can learn at your own pace — perfect for beginners, students, and professionals aiming to advance in data analytics or AI-related roles.
Who is This Course for?
This course is ideal for:
- Beginners who want to start a career in data analysis, business intelligence, or data science
- Students or professionals looking to upskill in Python programming for analytics
- Anyone interested in learning NumPy, Pandas, and Matplotlib from scratch
- Business professionals aiming to make data-driven decisions
- Developers and IT specialists wanting to enhance their analytical capabilities
Prerequisites for This Course
There are no strict entry requirements for this course. It is open to:
- Complete beginners to Python and data science
- Professionals seeking to enhance their data analysis and technical skills
- Students pursuing a career in tech, AI, or business analytics
- Anyone passionate about learning Python for practical data handling and visualisation
CPD Accredited Certification
Upon completing the course and passing the final exam, you will receive a CPD QS Accredited Certificate from Apex Learning. This certification demonstrates your qualifications and skills. The Digital version of the certificate is available for a discounted price of £9.99 only, and you can order a hard copy of the certificate for a discounted price of £14.99 only.
📍Note: Discounted certificate pricing is available for a limited time only. Secure yours before the offer ends!
QLS Endorsed Certification
Upon successful completion of the course, learners can order a Python Data Science Endorsed Certificate as recognition of their achievement. QLS Endorsed Certificates are available for an additional fee based on the qualification level, plus a £10 postage charge for international delivery.
Career Path
Completing the Python Data Science with NumPy, Pandas and Matplotlib Complete Training opens various professional development opportunities, including:
- Data Analyst
- Python Developer
- Business Intelligence Assistant
- Research Data Assistant
- Data Reporting Specialist
- Junior Data Scientist
This course equips you with the theoretical and technical foundation needed for CPD-accredited skill building in the data science field across the UK.
Python Data Science with NumPy, Pandas and Matplotlib | CPD Accredited Online Course UK
Looking to build your career in data science and analytics in the UK? Start your journey with the Python Data Science with NumPy, Pandas and Matplotlib Complete Training. This best-selling and highly rated programme provides essential knowledge to work effectively in various analytical and technical environments, including corporate offices, IT firms, research institutions, and business settings.
This CPD-accredited online data science course is tailored for individuals seeking flexible, certified training that builds strong foundational skills in Python programming, data manipulation, and visualisation. Whether you’re new to coding or looking to upskill, this course provides a complete foundation to excel in data analysis and data-driven decision-making across the UK.
Course Overview
Structured into 35+ focused modules, this Python Data Science course covers crucial topics, including:
- Introduction to Python, Pandas, and NumPy
- Setting up your Python environment for data science projects
- Working with Python strings, lists, sets, tuples, and dictionaries
- Using NumPy for numerical computations and multi-dimensional arrays
- Handling and analysing data with Pandas Series and DataFrames
- Reading and writing CSV, Excel, and JSON files
- Managing missing data, duplicates, and sorting datasets
- Merging, joining, concatenating, and aggregating data
- Using advanced Pandas features like hierarchical indexing and mapping
- Visualising data with Matplotlib: graphs, histograms, and plots
This course provides a comprehensive foundation to excel in various analytical, business, and technical environments across the UK. It builds your understanding of how to manage, clean, and visualise data using Python libraries that dominate the global data science industry. Additionally, it strengthens your analytical thinking and technical problem-solving abilities, ensuring you develop into a competent and confident data science professional.
Learning Outcomes
By completing this CPD-accredited Python Data Science course, you will:
- Gain a deep understanding of Python programming essentials for data analysis
- Learn to use NumPy for efficient mathematical computations and data operations
- Master Pandas for cleaning, transforming, and aggregating complex datasets
- Create stunning data visualisations using Matplotlib and Python plotting techniques
- Develop skills to manage large datasets, missing values, and real-world data challenges
- Learn how to read and write data in multiple file formats, including CSV, Excel, and JSON
- Understand how to merge, group, and aggregate datasets for better insights
- Build confidence in using Python for data-driven projects and reporting tasks
- Apply data manipulation skills in business, research, and analytics environments
- Boost your professional profile with a CPD-certified data science credential
Why Enrol in This Course?
By enrolling in this CPD-accredited Python Data Science with NumPy, Pandas and Matplotlib course UK, you’ll gain essential skills and certification to thrive in today’s data-driven world. This online training is structured around real-world data analysis techniques used by data analysts, business professionals, and developers. With 24/7 flexible online access, you can learn at your own pace — perfect for beginners, students, and professionals aiming to advance in data analytics or AI-related roles.
Who is This Course for?
This course is ideal for:
- Beginners who want to start a career in data analysis, business intelligence, or data science
- Students or professionals looking to upskill in Python programming for analytics
- Anyone interested in learning NumPy, Pandas, and Matplotlib from scratch
- Business professionals aiming to make data-driven decisions
- Developers and IT specialists wanting to enhance their analytical capabilities
Prerequisites
There are no strict entry requirements for this course. It is open to:
- Complete beginners to Python and data science
- Professionals seeking to enhance their data analysis and technical skills
- Students pursuing a career in tech, AI, or business analytics
- Anyone passionate about learning Python for practical data handling and visualisation
Assessment Method
Assessment for the course is conducted through an automated multiple-choice exam. A score of 60% is required to pass and earn the CPD Accredited Certificate. Reflective assignments are provided to enhance your learning, with expert tutor feedback available.
Certification
Upon completing the course and passing the final exam, you will receive a CPD QS Accredited Certificate from Apex Learning. This certification demonstrates your qualifications and skills. The Digital version of the certificate is available for a discounted price of £9.99 only, and you can order a hard copy of the certificate for a discounted price of £14.99 only.
📍Note: Discounted certificate pricing is available for a limited time only. Secure yours before the offer ends!
Endorsed Certificate from the Quality Licence Scheme
Upon successful completion of the course, learners can order a Python Data Science Endorsed Certificate as recognition of their achievement. QLS Endorsed Certificates are available for an additional fee based on the qualification level, plus a £10 postage charge for international delivery.
Career Path
Completing the Python Data Science with NumPy, Pandas and Matplotlib Complete Training opens various professional development opportunities, including:
- Data Analyst
- Python Developer
- Business Intelligence Assistant
- Research Data Assistant
- Data Reporting Specialist
- Junior Data Scientist
This course equips you with the theoretical and technical foundation needed for CPD-accredited skill building in the data science field across the UK.
Frequestly Asked Questions
1. Is this course suitable for beginners?
Yes! This course is ideal for beginners with no prior programming or data analysis experience.
2. Can I study this course online in the UK?
Absolutely. The course is 100% online, CPD-accredited, and accessible 24/7 across the UK.
3. What software do I need for this course?
You’ll need Python (Anaconda or base installation) and Jupyter Notebook, both covered in the setup module.
4. Will I get a CPD certificate?
Yes, upon completion, you’ll receive a recognised CPD-accredited certificate for skill development and CPD points.
5. What career benefits does this course offer?
It enhances your data handling, analysis, and visualisation skills — key for jobs in analytics, research, and tech.
Course Curriculum
- 39 sections
- 78 lectures
- 00:00:00 total length
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Course Introduction and Table of Contents 00:10:00
Course Introduction and Table of Contents -
Introduction to Python, Pandas and Numpy 00:07:00
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System and Environment Setup 00:08:00
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Python Strings – Part 1 00:11:00
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Python Strings – Part 2 00:09:00
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Python Numbers and Operators – Part 1 00:07:00
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Python Numbers and Operators – Part 2 00:07:00
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Python Lists – Part 1 00:05:00
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Python Lists – Part 2 00:06:00
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Python Lists – Part 3 00:05:00
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Python Lists – Part 4 00:07:00
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Python Lists – Part 5 00:07:00
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Tuples in Python 00:06:00
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Sets in Python – Part 1 00:05:00
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Sets in Python – Part 2 00:04:00
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Python Dictionary – Part 1 00:07:00
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Python Dictionary – Part 2 00:07:00
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NumPy Library Intro – Part 1 00:05:00
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NumPy Library Intro – Part 2 00:05:00
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NumPy Library Intro – Part 3 00:06:00
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NumPy Array Operations and Indexing – Part 1 00:04:00
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NumPy Array Operations and Indexing – Part 2 00:06:00
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NumPy Multi-Dimensional Arrays – Part 1 00:07:00
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NumPy Multi-Dimensional Arrays – Part 2 00:06:00
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NumPy Multi-Dimensional Arrays – Part 3 00:05:00
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Introduction to Pandas Series 00:08:00
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Introduction to Pandas Dataframes 00:07:00
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Pandas Dataframe conversion and drop – Part 1 00:06:00
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Pandas Dataframe conversion and drop – Part 2 00:06:00
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Pandas Dataframe conversion and drop – Part 3 00:07:00
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Pandas Dataframe summary and selection – Part 1 00:06:00
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Pandas Dataframe summary and selection – Part 2 00:06:00
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Pandas Dataframe summary and selection – Part 3 00:07:00
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Pandas Missing Data Management and Sorting – Part 1 00:07:00
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Pandas Missing Data Management and Sorting – Part 2 00:07:00
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Pandas Hierarchical-Multi Indexing 00:06:00
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Pandas CSV File Read Write – Part 1 00:05:00
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Pandas CSV File Read Write – Part 2 00:07:00
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Pandas JSON File Read Write Operations 00:07:00
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Pandas Concatenation Merging and Joining – Part 1 00:05:00
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Pandas Concatenation Merging and Joining – Part 2 00:04:00
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Pandas Concatenation Merging and Joining – Part 3 00:04:00
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Pandas Stacking and Pivoting – Part 1 00:06:00
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Pandas Stacking and Pivoting – Part 2 00:05:00
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Pandas Duplicate Data Management 00:07:00
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Pandas Mapping 00:04:00
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Pandas Groupby 00:06:00
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Pandas Aggregation 00:09:00
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Pandas Binning or Bucketing 00:08:00
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Pandas Re-index and Rename – Part 1 00:05:00
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Pandas Re-index and Rename – Part 2 00:05:00
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Pandas Replace Values 00:05:00
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Pandas Dataframe Metrics 00:07:00
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Pandas Random Permutation 00:08:00
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Pandas Excel sheet Import 00:07:00
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Pandas Condition Selection and Lambda Function – Part 1 00:05:00
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Pandas Condition Selection and Lambda Function – Part 2 00:06:00
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Pandas Ranks Min Max 00:06:00
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Pandas Cross Tabulation 00:07:00
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Graphs and plots using Matplotlib – Part 1 00:06:00
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Graphs and plots using Matplotlib – Part 2 00:02:00
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Matplotlib Histograms 00:03:00
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Claim Your Certificate 00:00:00
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Thank you for completing your course with us! We’d appreciate your feedback! 00:00:00
£21.99
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TAKE ALL COURSES FOR £99This course includes:
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Duration:6 hours, 24 minutes
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Access:1 year access
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Level:Intermediate
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CPD Points:10