Data Science & Machine Learning Diploma

Course details

<<<Career Oriented 40-in-1 "Data Science & Machine Learning: Python, R, SQL">»

Data science and machine learning are pivotal in the UK job market, with a steady demand for skilled professionals. The sector offers diverse roles, from data analysis to AI engineering, with competitive salaries and opportunities for remote work. Employers seek expertise in Python, statistical modeling, and machine learning frameworks, reflecting a robust employment landscape for these fields.

Step into the future of data science and machine learning with our comprehensive programme, "Data Science & Machine Learning: Python, R, SQL & Microsoft Azure". This bundle is designed to equip learners with the essential skills required to excel in the rapidly evolving field of data science and machine learning. With a focus on R, Python, SQL, and Microsoft Azure, you will be well-prepared to tackle complex data challenges and harness the power of machine learning.

Throughout this Data Science & Machine Learning diploma training, you will gain in-depth knowledge of data analysis, statistical modelling, and machine learning algorithms. Our structured curriculum ensures that you not only understand theoretical concepts but also develop the ability to apply them effectively. From data manipulation with R and Python to managing databases with SQL and leveraging cloud computing with Microsoft Azure, this bundle covers all critical aspects of modern data science and machine learning.

This Data Science & Machine Learning: Python, R, SQL & Microsoft Azure Mega Bundle includes the following courses:

• ➽ Course 01: Data Science & Machine Learning with Python
• ➽ Course 02: Machine Learning Basics
• ➽ Course 03: Data Science & Machine Learning with R Complete Training
• ➽ Course 04: Python Data Science Complete Guide
• ➽ Course 05: Python Programming Complete Training
• ➽ Course 06: Mastering SQL Programming
• ➽ Course 07: Python Data Science - For Beginners
• ➽ Course 08: Data Science: R Programming Online Course
• ➽ Course 09: Learn Python, JavaScript, and Microsoft SQL for Data science
• ➽ Course 10: Google Data Studio Training Course
• ➽ Course 11: Basic Data Analysis Training
• ➽ Course 12: Data Center Essentials: Introduction
• ➽ Course 13: Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4
• ➽ Course 14: Learn Microsoft Word, PowerPoint & Outlook In 90 Minutes!
• ➽ Course 15: Data Analysis: PowerBI Formulas
• ➽ Course 16: Data Analysis: Getting Results with PowerBI
• ➽ Course 17: Business Intelligence | Basics of Data & Data Mining
• ➽ Course 18: Financial Controller
• ➽ Course 19: Business Process Analyst 
• ➽ Course 20: Cyber Security Training: Incident Handling & Response
• ➽ Course 21: Microsoft Azure Masterclass
• ➽ Course 22: Microsoft Azure - Az 304
• ➽ Course 23: Microsoft Azure - Az 900
• ➽ Course 24: Data Analytics
• ➽ Course 25: Microsoft SQL Server Development Training
• ➽ Course 26: Microsoft Access
• ➽ Course 27: Data Analytics with Tableau
• ➽ Course 28: Microsoft Excel Complete Training
• ➽ Course 29: Online Microsoft Excel Master Certification Bundle
• ➽ Course 30: Excel: Top 50 Microsoft Excel Formulas in 50 Minutes!

Additionally, you will be given access to the following career-focused courses:

• ➽ Course 01: Career Development Training
• ➽ Course 02: Basics of Process Planning
• ➽ Course 03: Strategic Planning and Analysis for Marketing
• ➽ Course 04: Job Search Skills
• ➽ Course 05: Interview Skills Training
• ➽ Course 06: Ultimate Video Job Interview Training
• ➽ Course 07: Successful Business Networking Skills Course
• ➽ Course 08: Boost Your Confidence, Assertiveness & Communication Skills
• ➽ Course 09: Public Speaking Course
• ➽ Course 10: Perfect LinkedIn Profile Creation Training

Learning Benefits of Data Science & Machine Learning Diploma:

• Utilise Microsoft Azure for cloud-based data science and machine learning solutions.
• Gain expertise in Python for data manipulation, visualisation, and machine learning.
• Develop proficiency in using R for data analysis and statistical modelling.
• Master SQL for efficient database management and querying.
• Understand the principles and applications of machine learning algorithms.
• Implement machine learning models using R and Python.
• Apply best practices in data handling, model building, and deployment.
• Conduct comprehensive data visualisation to communicate insights effectively.

Updated on 31 October, 2024