Booking options
£10.99
£10.99
On-Demand course
1 hour
All levels
Quick Data Science Approach from Scratch is an innovatively structured course designed to introduce learners to the fascinating world of data science. The course commences with an enlightening introduction, setting the stage for a deep dive into the essence and significance of data science in the modern era. Learners are guided through a landscape of insights, where misconceptions about data science are addressed and clarified, paving the way for a clear and accurate understanding of the field.
In the second section, the course shifts its focus to pivotal data science concepts. Beginning with an exploration of data types and variables, learners gain a solid foundation in handling various data formats. The journey then leads to mastering descriptive analysis, a critical skill for interpreting and understanding data trends. Learners will also navigate through the intricate processes of data cleaning and feature engineering, essential skills for refining and optimizing data for analysis. The concept of 'Data Thinking Development' is introduced, fostering a mindset that is crucial for effective data science practice.
The final section offers an immersive experience in applying these skills to a real-world scenario. Here, learners engage in defining a problem, choosing suitable algorithms, and developing predictive models. This practical application is designed to cement the theoretical knowledge acquired and enhance problem-solving skills in data science.
Learning Outcomes
Build a foundational understanding of data science and its practical relevance.
Develop proficiency in managing various data types and conducting descriptive analysis.
Learn and implement effective data cleaning and feature engineering techniques.
Cultivate a 'data thinking' approach for insightful data analysis.
Apply data science methodologies to real-life problems using algorithmic and predictive techniques.
Unlimited access to the course for a lifetime.
Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course.
Structured lesson planning in line with industry standards.
Immerse yourself in innovative and captivating course materials and activities.
Assessments designed to evaluate advanced cognitive abilities and skill proficiency.
Flexibility to complete the Course at your own pace, on your own schedule.
Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.
Unlock career resources for CV improvement, interview readiness, and job success.
Novices aiming to enter the data science field.
Sector professionals integrating data science into their expertise.
Academicians and learners incorporating data science in academic pursuits.
Business strategists utilizing data science for enhanced decision-making.
Statisticians and analysts broadening their expertise into the data science domain.
Entry-Level Data Scientist: £25,000 - £40,000
Beginner Data Analyst: £22,000 - £35,000
Emerging Business Intelligence Specialist: £28,000 - £45,000
Data-Focused Research Scientist: £30,000 - £50,000
Novice Machine Learning Practitioner: £32,000 - £55,000
Data System Developer (Starter): £26,000 - £42,000
This Quick Data Science Approach from Scratch does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Quick Data Science Approach from Scratch was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.
After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8.
Section 01: Course Overview & Introduction to Data Science | |||
Introduction | 00:02:00 | ||
Data Science Explanation | 00:05:00 | ||
Need of Data Science | 00:02:00 | ||
8 Common mistakes by Aspiring Data Scientists/Data Science Enthusiasts | 00:08:00 | ||
Myths about Data Science | 00:03:00 | ||
Section 02: Data Science Concepts | |||
Data Types and Variables | 00:04:00 | ||
Descriptive Analysis | 00:02:00 | ||
Data Cleaning | 00:02:00 | ||
Feature Engineering | 00:02:00 | ||
Data Thinking Development | 00:03:00 | ||
Section 03: A Real Life Problem | |||
Problem Definition | 00:05:00 | ||
Algorithms | 00:14:00 | ||
Prediction | 00:03:00 | ||
Learning Methods | 00:05:00 | ||
Assignment | |||
Assignment - Quick Data Science Approach from Scratch | 00:00:00 |
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