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9 Reviews
1 Students
Overview
If you want to learn Python from the basics to advanced applications in data science, the Python Basic to Advanced for Data Science Online Course is designed to guide you through structured learning and real-world applications. In today’s data-driven world, Python is a critical tool for professionals in analytics, AI, machine learning, and automation. This course provides a clear, stepwise pathway to mastering Python 3 for students, professionals, and data enthusiasts.
The course combines foundational programming principles with intermediate and advanced data science techniques. Learners explore Python essentials, data structures, functions, and control statements, progressing to complex algorithms, predictive models, and data visualisation. By the end of the training, participants can handle datasets, automate tasks, and apply Python programming in practical projects confidently.
- ➽ Covers Python 3 from beginner, intermediate to advanced modules
- ➽ Focuses on real-world applications in data science, AI, and analytics
- ➽ Includes exercises for coding, data manipulation, and algorithm development
- ➽ Teaches Python libraries such as NumPy, pandas, Matplotlib, and more
- ➽ Emphasises both programming concepts and their application in professional scenarios
Whether you are a beginner or a professional aiming to enhance Python skills, this course equips learners with the knowledge and tools to become proficient in Python for data science applications.
What Is Python Basic to Advanced for Data Science Online Course?
The Python Basic to Advanced for Data Science Online Course is a structured training program designed to take learners from fundamental Python programming to advanced data science applications. It teaches how to write Python code efficiently, manipulate data, and implement algorithms while applying these skills to AI, automation, and analytics projects.
In this course, learners start with beginner-level Python, including variables, loops, functions, and basic data structures. Intermediate modules cover complex data handling, exceptions, Python syntax, and advanced collections like lists, dictionaries, tuples, and sets. Advanced modules introduce iterators, generators, decorators, metaprogramming, APIs, XML/JSON processing, and predictive modeling.
The training also highlights the advantages of a structured approach to learning Python. By following a stepwise curriculum, learners develop coding fluency and confidence, enabling them to solve data problems, process real datasets, and create automated solutions.
By completing this course, learners gain the skills to apply Python effectively in professional and academic data science projects, preparing them for careers in analytics, AI, and related fields.
Description: Comprehensive Python Training for Data Science
The Python Basic to Advanced for Data Science Online Course begins with foundational modules covering Python 3 basics. Learners explore programming concepts, control structures, functions, data types, arrays, classes, pointers, and strings, forming the building blocks for structured coding.
Intermediate modules advance into Python-specific topics such as installation, command line use, iterable objects, loops, exceptions, functions, lists, dictionaries, tuples, sets, comprehensions, and file handling. These modules emphasise practical exercises to reinforce coding logic and data handling techniques.
Advanced modules focus on professional applications in data science. Topics include iterators, generators, decorators, metaclasses, modules, packages, working with APIs, XML and JSON parsing, implementing algorithms, and predictive modeling. Learners are guided through practical scenarios, applying Python to automate tasks, analyse datasets, and visualise results effectively.
By completing the course, participants acquire a complete skill set from Python basics to advanced applications, enabling them to solve real-world data problems, develop AI-powered solutions, and confidently work in data-driven roles.
Learning Outcome
Learning Outcome- Apply Python 3 programming concepts from beginner to advanced levels
- Manipulate, process, and analyse datasets efficiently
- Design and implement functions, loops, and control statements
- Use Python libraries such as NumPy, pandas, and Matplotlib for data projects
- Develop algorithms, predictive models, and automated data solutions
- Handle data in various formats, including XML, JSON, and structured files
- Implement advanced Python techniques for real-world data science tasks
Who Is This Course For?
Who Is This Course For?- Students aspiring to enter data science, analytics, or AI roles
- Professionals seeking to enhance Python programming skills
- Beginners with no prior coding experience looking for a structured learning path
- Data enthusiasts aiming to build expertise from basics to advanced Python
- Individuals preparing for careers in AI, machine learning, or automation
Why Enrol in This Python Basic to Advanced for Data Science Online Course?
Python is one of the most sought-after skills in today’s job market, powering data science, AI, and automation projects. This course provides a stepwise and structured approach that builds confidence and proficiency from basic coding to advanced applications.
The training integrates exercises, modules, and examples to help learners apply Python concepts to real-world problems. It goes beyond theory, focusing on practical application in analytics, machine learning, predictive modelling, and automation workflows.
Completing this course equips participants with the skills to handle complex data, build predictive models, and work with Python libraries critical to data science. Professionals can leverage these skills for career growth in high-demand roles across analytics, AI, and software development.
Career Path – Python Basic to Advanced for Data Science Online Course
Completing this course prepares learners for high-demand roles in data science and AI, including:
- ➽ Data Scientist — £60,000/year
Analyses datasets, develops models, and derives insights. - ➽ Data Analyst — £45,000/year
Interprets data trends, creates reports, and supports decision-making. - ➽ Machine Learning Engineer — £65,000/year
Builds predictive models and ML pipelines. - ➽ Python Developer — £55,000/year
Designs, codes, and implements Python applications. - ➽ AI Engineer — £70,000/year
Develops AI-driven solutions using Python frameworks. - ➽ Business Intelligence Developer — £50,000/year
Transforms data into actionable insights for businesses.
Learners can progress to senior data science, AI engineering, or software development roles after completing this training.
Enrol Today – Advance Your Python and Data Science Skills
By enrolling in this course, you start a structured learning journey from Python basics to advanced data science applications. Python is a key skill for AI, machine learning, and analytics careers, and this training equips learners to succeed in these high-demand roles.
Build the coding, analytical, and problem-solving skills needed to thrive in data-driven industries and advance your career confidently.
Start developing chart analysis knowledge and explore how stock market patterns support technical trading strategies.
Certificate of Achievement
Upon successfully completing this course, learners will receive a recognised certificate validating their proficiency in Python programming and data science applications.
We provide two certificate options:
CPD-QS Certificate
Accredited by CPD Quality Standards (CPD-QS), confirming that the course meets recognised Continuing Professional Development standards.
SKILL UP Brand Recognised Certificate
A certificate confirming successful completion of the course and achievement of learning outcomes related to Python programming, data handling, and analytics.
Earn Your Accredited Certificate with Transcript
Save 20% with the coupon code SKILL20
Show Your Certified Identity with a CPD-QS Certificate
Perfect for employers, clients, or academic verification.
Frequently Asked Questions
The course is fully online and self-paced, allowing learners to complete the training according to their schedule.
 No prior trading knowledge is required. The course introduces chart pattern concepts from the beginning.
Yes, learners receive a recognised certificate confirming completion of the Stock Market Chart Patterns training.
Yes, the course includes market analysis examples and pattern observation exercises to help learners study chart formations.
Yes, the training course is suitable for beginners who want to study stock market chart patterns and trading analysis.
Python Basic to Advanced for Data Science Online Course Reviews
A well-organised and highly valuable course with clear, easy-to-understand guidance throughout. I’ve gained knowledge that’s directly relevant to my day-to-day responsibilities. It’s given me greater confidence in applying these skills professionally.
Engaging content delivered in a straightforward and structured format. The examples were realistic and helped reinforce key concepts effectively. I would certainly recommend it to colleagues looking to upskill
Comprehensive, insightful and professionally presented from start to finish. The course materials were clear and well supported. A worthwhile investment for anyone serious about career development
Curriculum
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Introduction
00:29:00
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Starter Examples
00:33:00
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Learning C Concepts
00:13:00
00:29:00 -
Data Types and Inference
00:20:00
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Sizeof and IEEE 754
00:33:00
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Constants L and R Values
00:11:00
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Operators and Precedence
00:25:00
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Literals
00:26:00
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Classes and Structs
00:22:00
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Enums
00:14:00
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Unions
00:16:00
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Introduction to Pointers
00:11:00
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Pointers and Array Indexing
00:12:00
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Using Const with Pointers
00:09:00
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Pointers to String Literals
00:12:00
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References
00:14:00
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Smart Pointers
00:22:00
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Arrays
00:15:00
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Standard Library Strings
00:13:00
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More Standard Library Strings
00:18:00
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Functions
00:06:00
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More Functions
00:16:00
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Function Pointers
00:15:00
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Control Statements
00:18:00
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Installing Python
00:17:00
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Documentation
00:30:00
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Command Line
00:17:00
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Variables
00:29:00
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Simple Python Syntax
00:15:00
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Keywords
00:18:00
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Import Module
00:17:00
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Additional Topics
00:23:00
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If Elif Else
00:31:00
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Iterable
00:10:00
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For
00:11:00
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Loops
00:20:00
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Execute
00:05:00
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Exceptions
00:18:00
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Data Types
00:24:00
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Number Types
00:28:00
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More Number Types
00:13:00
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Strings
00:20:00
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More Strings
00:11:00
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Files
00:08:00
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Lists
00:15:00
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Dictionaries
00:04:00
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Tuples
00:07:00
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Sets
00:09:00
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Comprehensions
00:10:00
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Definitions
00:02:00
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Functions
00:06:00
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Default Arguments
00:06:00
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Doc Strings
00:06:00
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Variadic Functions
00:07:00
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Factorial
00:07:00
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Function Objects
00:07:00
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Lambda
00:11:00
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Generators
00:06:00
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Closures
00:10:00
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Classes
00:09:00
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Object Initialization
00:05:00
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Class Static Members
00:07:00
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Classic Inheritance
00:10:00
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Data Hiding
00:07:00
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Iterators and Generators
00:16:00
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Regular Expressions
00:19:00
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Introspection and Lambda Functions
00:27:00
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Metaclasses and Decorators
00:24:00
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Modules and Packages
00:25:00
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Working with APIs
00:15:00
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Metaprogramming Primer
00:19:00
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Decorators and Monkey Patching
00:21:00
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XML and JSON Structure
00:10:00
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Generating XML and JSON
00:17:00
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Parsing XML and JSON
00:19:00
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Implementing Algorithms
00:19:00
Offer Ends in
TAKE ALL COURSES FOR £99
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Duration:19 hours, 30 minutes
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Access:1 Year
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Units:76
