Machine Learning, Data Mining, Python & Predictive Analytics for Data Scientist

Breaking into the field of data science can be a daunting challenge without the right combination of technical expertise and analytical thinking. Employers are searching for professionals who can extract meaning from vast amounts of data and convert it into strategic insights. Without a solid foundation in programming, statistics, and data-driven decision-making, it’s easy to be left behind in a highly competitive job market.

This course delivers a thorough grounding in data science, covering programming with Python, data manipulation, and statistical modelling. Learners will explore machine learning techniques, data visualisation, and how to work with large datasets using tools such as Pandas, NumPy, and scikit-learn. The curriculum also includes data cleaning, feature engineering, predictive modelling, and applying algorithms to solve real-world business problems—ensuring learners gain the skills to turn data into meaningful outcomes that drive innovation and value.

Step into one of the most influential roles in the digital economy—enrol today and become a skilled, future-ready data scientist.

Course Breakdown

This program covers a wide range of courses, here’s a list for you!

• Course 01: Data Science & Machine Learning with Python
• Course 02: R Programming for Data Science
• Course 03: Python Data Science
• Course 04: Introduction to Data Analysis
• Course 05: Diploma in Data Analysis Fundamentals
• Course 06: Business Data Analysis
• Course 07: Data Analytics with Tableau
• Course 08: Mastering SQL Programming
• Course 09: Business and Data Analysis With SQL
• Course 10: Google Analytics Fundamentals
• Course 11: Google Data Studio: Data Analytics
• Course 12: Microsoft Power BI
• Course 13: Data Analysis In Excel
• Course 14: Excel for Data Analytics
• Course 15: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
• Course 16: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines
• Course 17: Excel Vlookup, Xlookup, Match and Index
• Course 18: Reporting and Data Analysis
• Course 19: Financial and Risk Analysis
• Course 20: Cyber Security and Virus Protection
• Course 21: Cloud Computing Essentials for Data Analysis
• Course 22: Making Budget & Forecast
• Course 23: Critical Thinking, Problem Solving and Decision Making
• Course 24: Statistics & Probability for Data Analysis
• Course 25: Microsoft Office 2016 Complete Course
• Course 26: GDPR Data Protection
• Course 27: Business Intelligence and Data Mining
• Course 28: Clinical Data Analysis with SAS
• Course 29: Effective Communication Skills for Data Science
• Course 30: Business Essentials - Effective Communication

CPD Accredited Digital Certificate

Digital certificate - Included

CPD Accredited Hard Copy Certificate

Hard copy certificate - Included

Learning Outcomes

After completing this course, you will be able to:

• Apply statistical methods and probability theories to evaluate, model, and interpret complex data trends across different business and research scenarios.
• Develop machine learning models using Python and R to identify patterns, classify data, and predict outcomes with appropriate evaluation metrics.
• Design automated dashboards in Excel using advanced formulae, VBA, and Power Query for real-time reporting and interactive data monitoring.
• Create effective data visualisations using Tableau and Power BI to communicate trends and performance indicators with clarity and visual impact.
• Write SQL queries to manipulate, retrieve, and analyse large datasets for business decision-making and performance measurement activities.
• Use Google Analytics and Google Data Studio to collect, process, and present web data insights for strategic marketing and audience targeting purposes.
• Perform data mining and predictive modelling to extract meaningful insights while aligning analysis with ethical standards and data protection legislation.
• Assess financial data, risks, and budgets by applying critical reasoning and data-driven forecasting techniques for business planning and strategy.
• Integrate cybersecurity principles into data workflows to ensure data security, risk control, and regulatory compliance across digital environments.
• Communicate technical analysis outcomes clearly using written and verbal strategies tailored to different stakeholders with varied analytical literacy levels.

Standout features of this Real Estate Investment Programme

• The ability to complete Programme at your own convenient time
• Facility to study the Programme from anywhere in the world by enrolling
• Free CPD Accredited Certificate upon completion of the Programme
• Get a free student ID card with the Programme
• Lifetime access to the Programme materials
• Get instant access to theProgramme
• 24/7 tutor support with the Programme

Certification

After completing the programme, you will be entitled to claim a Certificate. The Certificates will be Accredited by CPD Quality standards. The PDF Certificates will be FREE and you will also get a Hardcopy Certificate for Any One Course of Your Choice for FREE.

Here is the Breakdown of Certificates Cost without the OFFER:

• PDF Certificate - £9.99*30 = £299 (Now all for FREE!)
• 1 CPD Hard Copy Certificate of your choice - £15.99 (For FREE!)

• People eager to build knowledge in data analytics, coding, and business intelligence for solving real-world data-driven challenges effectively.
• Those seeking to explore the process of converting raw data into actionable insights through structured programming and visualisation tools.
• Anyone interested in developing statistical reasoning and machine learning capabilities across diverse industries and analytical contexts.
• Learners wishing to improve communication techniques for presenting complex data clearly to both technical and non-technical audiences.
• Enthusiasts aiming to explore cloud computing, cybersecurity, and regulatory compliance elements in relation to modern data science practices.

There are no formal entry requirements for this programme. Any UK resident over the age of 18 can enroll, but you must have basic English language skills, computer literacy, and a valid UK work permit.

• Data Scientist (£45,000 to £80,000)
• Machine Learning Engineer (£48,000 to £82,000)
• Data Analyst (£30,000 to £55,000)
• Business Intelligence Analyst (£32,000 to £58,000)
• Data Engineer (£40,000 to £75,000)
• Data Visualisation Specialist (£35,000 to £60,000)
• Statistician (£38,000 to £65,000)
• Data Science Consultant (£42,000 to £78,000)

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