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

Janets

CPD Accredited Digital Certificate

Digital certificate - Included

CPD Accredited Hard Copy Certificate

Hard copy certificate - Included

Multiple Choice Questions (MCQ)/Assignment

Included in course price

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)

Currently there are no Q&As for this course. Be the first to ask a question.