Data Scientist Job Preparation Complete Course

Cambridge Open Academy

Mock Exam & Final Exam

Included in course price

Data science is at the core of the digital revolution, empowering industries to make data-driven decisions. This all-encompassing course covers everything from Python and R programming to customer analytics and machine learning. You'll dive deep into data science fundamentals, uncovering insights that shape businesses and the healthcare industry alike.

Whether you aim to advance your career in data analysis, machine learning, or healthcare-related roles, this course provides a theoretical foundation for excelling as a Data Scientist. Start your journey towards becoming a sought-after professional with unmatched analytical expertise.

Take the first step towards your Data Scientist career—enrol today!

Course Curriculum:

» Course 01: Data Science & Machine Learning with R

• Section 01: Introduction to Data Science +ML with R from A-Z
• Section 02: Getting Started with R
• Section 03: Data Types and Structures in R
• Section 04: Intermediate R
• Section 05: Data Manipulation in R
• Section 06: Data Visualization in R
• Section 07: Creating Reports with R Markdown
• Section 08: Building Webapps with R Shiny
• Section 09: Introduction to Machine Learning
• Section 10: Data Preprocessing
• Section 11: Linear Regression: A Simple Model
• Section 12: Exploratory Data Analysis
• Section 13: Linear Regression: A Real Model
• Section 14: Logistic Regression
• Section 15: Starting a Career in Data Science

» Course 02: Python for Data Science & Machine Learning: Zero to Hero

• Introduction
• The Must-Have Python Data Science Libraries
• NumPy Mastery: Everything you need to know about NumPy
• DataFrames and Series in Python's Pandas
• Data Cleaning Techniques for Better Data
• Exploratory Data Analysis in Python
• Python for Time-Series Analysis: A Primer
• Python for Data Visualisation: Library Resources, and Sample Graphs
• The Basics of Machine Learning
• Simple Linear Regression with Python
• Multiple Linear Regression with Python
• Classification Algorithms: K-Nearest Neighbors
• Classification Algorithms: Decision Tree
• Classification Algorithms: Logistic regression
• Clustering
• Recommender System
• Conclusion

» Course 03: Business Intelligence Analyst Course

• Module 01: An Introduction to Business Intelligence
• Module 02: Real-time Business Intelligence
• Module 03: Fundamentals of Statistics and Data Science
• Module 04: Fundamentals of SQL
• Module 05: Database Management Essentials
• Module 06: Data Warehouse Concepts
• Module 07: Data Visualisation in Business Intelligence
• Module 08: Basics of Python

» Course 04: Library and Information Science

• Module 01: Structuring The Organisation of a Library
• Module 02: Legislation
• Module 03: Library Networking
• Module 04: Library as Infrastructure
• Module 05: Finance Management
• Module 06: E-Library
• Module 07: Ethical Standards

» Course 05: Customer Analytics Training

• Section 01: Basics Of Customer Analytics And Customer Life Cycle
• Section 02: Customer Onboarding
• Section 03: Customer Activation
• Section 04: Cross Selling
• Section 05: Campaign Life Cycle
• Section 06: Conclusion

and more with other courses.

Our Specialised Delivery Method:

• Learn by Doing: Interactive activities keep you engaged.
• Go Mobile: Works on any device, no downloads needed.
• Easy to Use: Simple design for all learners.
• Track Progress: Stay motivated with clear progress tracking.
• Visually Appealing: Enjoyable learning experience.

Join us today to unlock the potential of your Data Science skills and elevate your career to new heights.

• Aspiring Data Scientists seeking theoretical expertise in analytics and machine learning.
• Professionals transitioning into data science from healthcare or business backgrounds.
• Healthcare workers looking to integrate data analytics into medical practices.
• Individuals aiming to enhance their soft skills for leadership in data-driven fields.

• No prior knowledge needed
• Compatible with any internet-enabled device, including computers, tablets, and smartphones.
• Consistent learning experience
• Accessible anywhere, anytime
• No limitations on access
• Use Wi-Fi or mobile data

After finishing the course, you can advance your profession. Look into jobs like:

• Junior Data Scientist – £28,000 to £35,000
• Data Scientist – £35,000 to £50,000
• Machine Learning Engineer – £40,000 to £55,000
• Business Intelligence Analyst – £30,000 to £45,000
• Senior Data Scientist – £55,000 to £70,000
• Data Science Lead – £65,000 to £85,000

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