Python Data Science Course

Course

Online

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Special Emagister price

£ 9 £ 425 VAT inc.

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Description

  • Type

    Course

  • Level

    Intermediate

  • Methodology

    Online

  • Class hours

    6h

  • Duration

    1 Year

  • Online campus

    Yes

The Python Data Science course is designed to introduce learners to the core principles, tools, and techniques used in modern data analysis and data-driven decision-making. This online course focuses on using Python for data science, covering essential concepts such as data manipulation, data visualisation, statistical analysis, and basic machine learning foundations. Learners will explore widely used Python libraries including NumPy, Pandas, and Matplotlib, gaining the ability to work confidently with real-world datasets.

Throughout the course, learners develop practical analytical thinking skills, learning how to clean, organise, analyse, and interpret data effectively. The curriculum emphasises problem-solving, logical reasoning, and data-driven insights that are valuable across industries such as business, technology, finance, healthcare, and marketing.

This Python data science training is ideal for anyone looking to build a strong foundation in data analysis, enhance their technical skill set, or transition into data-focused roles. With flexible online access, learners can study at their own pace while developing in-demand data science skills. The course supports personal and professional development, helping learners strengthen their CV and improve career prospects in a data-driven job market.

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About this course

Understand core Python programming concepts for data analysis
Analyse and manipulate datasets using Python libraries
Apply statistical techniques to interpret data accurately
Create clear data visualisations to communicate insights
Develop problem-solving and analytical thinking skills
Build a strong foundation for advanced data science learning

This Python Data Science course is suitable for individuals looking to gain essential data analysis skills using Python, regardless of prior experience in data science. It is ideal for beginners seeking an introduction to Python for data analysis, as well as professionals aiming to upskill or change career direction. Aspiring data analysts, business analysts, researchers, and professionals working with data in roles such as marketing, finance, or operations will benefit greatly from this course.

The course is also suitable for students and career starters who want to strengthen their technical profile and develop transferable analytical skills. Those already working in technical or IT-related roles can use this training to expand their knowledge of data science tools and methodologies. Designed to be accessible and inclusive, the course supports learners from diverse educational and professional backgrounds who want to build confidence in working with data and improve their career prospects.

The entry requirements for the Python Data Science course are flexible and learner-friendly. There are no formal entry requirements, making the course accessible to a wide range of learners. It is suitable for individuals aged 16 and above who are motivated to develop data analysis and Python skills. A good standard of English is recommended to understand course materials and assessments effectively. Basic numeracy skills and general IT knowledge, such as using a computer and navigating online platforms, are also advised to support a smooth learning experience.

Upon successful completion of the Python Data Science course, you will qualify for a UK and internationally recognised professional certification. You may also choose to formalise your achievement by obtaining your PDF Certificate for £9 or a Hardcopy Certificate for £15.

This course stands out through its flexible and self-paced learning structure, allowing learners to study anytime and from anywhere. The content is designed by subject specialists to ensure clarity, relevance, and alignment with current industry needs. Each module focuses on building practical, career-focused outcomes that support real-world data analysis tasks. The course emphasises skills that enhance a CV, helping learners demonstrate valuable technical and analytical capabilities. With online access and structured learning materials, learners can progress confidently while balancing personal, educational, or professional commitments.

Yes, this course is designed to be accessible to beginners with no prior experience in data science. It introduces Python concepts gradually, explaining key ideas clearly and logically. Learners are guided step by step through data analysis techniques, making the course suitable for those new to Python as well as those looking to refresh their knowledge.

The Python Data Science course helps learners develop in-demand analytical and technical skills valued across many industries. It strengthens a CV by demonstrating knowledge of data analysis, Python programming, and problem-solving. These skills can support career progression, role transitions, or further study in data-related fields.

The course is delivered fully online through a flexible learning platform. Learners can access materials at any time and progress at their own pace. This study method allows individuals to balance learning with work or personal commitments while building skills independently and confidently.

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This centre's achievements

2019

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 7 years

Subjects

  • Decision Making
  • Data analysis
  • Data Management
  • Python
  • Python data

Teachers and trainers (1)

One Education

One Education

Course Provider

Course programme

Python Data Science introduces the core tools and techniques used to analyse, interpret, and visualise data using Python. The course covers Python fundamentals, data manipulation with libraries such as NumPy and pandas, data visualisation, and basic statistical analysis. Learners also explore real-world data handling, problem-solving, and insights generation to support data-driven decision-making. Suitable for beginners and aspiring analysts, it builds a strong foundation in practical data science skills.

Course Curriculum

  • Course Introduction and Table of Contents
    Introduction to Python, Pandas and Numpy
    System and Environment Setup
    Python Strings
    Python Numbers and Operators
    Python Lists
    Tuples in Python
    Sets in Python
    Python Dictionary
    NumPy Library - Introduction
    NumPy Array Operations and Indexing
    NumPy Multi-Dimensional Arrays
    Introduction to Pandas Series
    Introduction to Pandas Dataframes
    Pandas Dataframe conversion and drop
    Pandas Dataframe summary and selection
    Pandas Missing Data Management and Sorting
    Pandas Hierarchical-Multi Indexing
    Pandas CSV File Read Write
    Pandas JSON File Read Write
    Pandas Concatenation Merging and Joining
    Pandas Stacking and Pivoting
    Pandas Duplicate Data Management
    Pandas Mapping
    Pandas Grouping
    Pandas Aggregation
    Pandas Binning or Bucketing
    Pandas Re-index and Rename
    Pandas Replace Values
    Pandas Dataframe Metrics
    Pandas Random Permutation
    Pandas Excel sheet Import
    Pandas Condition Selection and Lambda Function
    Pandas Ranks Min Max
    Pandas Cross Tabulation
    Matplotlib Graphs and plots
    Matplotlib Histograms

Call the centre

Python Data Science Course

Special Emagister price

£ 9 £ 425 VAT inc.