Introduction to Data science
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- Certificate of completion - Free
- Certificate of completion - £10.99
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Overview
Introduction to Data science Training
Do you want to start a career in Introduction to Data science, or do you want to develop your skills in Introduction to Data science? Then this Introduction to Data science course will provide you with a solid basis to become a confident Introduction to Data science professional while also assisting you in developing your knowledge in Introduction to Data science. Through this Introduction to Data science course, you will get instruction from experts in the field.
The Introduction to Data science course is divided into several lectures. Upon successfully completing the Introduction to Data science course, you will receive an instant e-certificate FREE of cost.
With this comprehensive Introduction to Data science course, you can achieve your dreams and train for your ideal career. The Introduction to Data science course provides students with an in-depth learning experience.
This Introduction to Data science course is designed for professionals who desire to succeed in their area. Everything you need to know to become a specialist is included in this Introduction to Data science course.
The Introduction to Data science course begins with a foundational understanding of the Introduction to Data science. This Introduction to Data science course will provide you with a thorough understanding of the Introduction to Data science, including important concepts, strategies for using it, and in-depth expertise.
With the Introduction to Data science course, you can gain new skills in Introduction to Data science. The Introduction to Data science training has been professionally developed for you to complete via distance e-learning.
You may realise your goals and prepare for your ideal profession by taking this comprehensive Introduction to Data science course.
In conclusion, the Introduction to Data science course is an excellent way to advance your profession. So, what do you have to lose? Enrol this Introduction to Data science right now!
What you will learn?
- Impress interviewers by showing an understanding of the data science field
- Learn how to pre-process data
- Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
- Start coding in Python and learn how to use it for statistical analysis
- Perform linear and logistic regressions in Python
- Carry out the cluster and factor analysis
- Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
- Apply your skills to real-life business cases
- Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
- Unfold the power of deep neural networks
- Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross-validation, testing, and how hyperparameters could improve performance
Why do people enrol in the Introduction to Data science course?
- FREE instant PDF certificate upon successful completion of the Introduction to Data science course
- Three years of access to this Introduction to Data science course
- Online test that gives instant results on the Introduction to Data science course
- Get tutor support from Monday to Friday
- This is a self-paced Introduction to Data science course
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Description
Introduction to Data science Training
The Introduction to Data science course materials were created with the help of Introduction to Data science professionals, and all information on Introduction to Data science is maintained up to date on a regular basis so that learners do not fall behind on current trends/updates on Introduction to Data science.
We've separated the Introduction to Data science course into 6 user-friendly Lectures, covering all essential elements of Introduction to Data science to provide learners with the skills and industry knowledge to further their careers in Introduction to Data science.
Introduction to Data science Curriculum
- Section 1: Introduction to Data science
Introduction to Data science course certificate
You will get a FREE digital certificate when you have successfully finished your Introduction to Data sciencecourse. Thehard copy certificate is £10.99.The certificate is also available in physical form and may be sent to your address. There will be a £5.99 delivery fee inside the UK and £16.99 for international delivery will be included with the certificate price.
Who is this course for?
Introduction to Data science Training
Anyone who is interested in Introduction to Data science can enrol in this Introduction to Data science course.
Requirements
Introduction to Data science Training
As no previous knowledge or experience in Introduction to Data science is necessary.
Career path
Introduction to Data science Training
This Introduction to Data science course can help you get the job you're after in the sector.
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Certificates
Certificate of completion
Digital certificate - Included
You will get a FREE digital certificate when you have successfully finished your Introduction to Data sciencecourse.
Certificate of completion
Hard copy certificate - £10.99
Thehard copy certificate is £10.99.The certificate is also available in physical form and may be sent to your address. There will be a £5.99 delivery fee inside the UK and £16.99 for international delivery will be included with the certificate price.
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Legal information
This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.