
Python for Machine Learning and Data Analytics
NextGen Learning
3 in 1 CPD Certified Courses for 2025 | 17 Updated Learning Materials | Free PDF Certificate | Get Lifetime Access
Summary
- Certificate Of Completion - Free
- Certificate Of Completion - £9.99
- MCQ/Assignment (included in price)
- Tutor is available to students
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Overview
Certificates
Certificate Of Completion
Digital certificate - Included
Certificate Of Completion
Hard copy certificate - £9.99
Unlock your potential and showcase your accomplishments with our CPD Quality Standards certificates!
Upon successful completion of the course, learners can obtain a CPD Quality Standards PDF certificate for Python For Beginners Part 1 absolutely free!
Upon finishing Machine Learning Basics and Data Analytics, you'll have the opportunity to obtain valuable proof of your achievement. For just £4.99, we'll send you a CPD Quality Standards PDF Certificate via email, or if you prefer, you can get a beautifully printed hardcopy certificate for £9.99 in the UK. If you're located internationally, don't worry! We offer a printed hardcopy certificate for £14.99, ensuring your success knows no boundaries. Grab your certificate and celebrate your success today!
Assessment details
MCQ/Assignment
Included in course price
CPD
Course media
Description
Introducing our captivating bundle of courses: "Python for Machine Learning and Data Analytics." Whether you're a novice seeking to enter the world of Python programming or an experienced professional looking to enhance your skills, this bundle is tailor-made for you.
The Python For Beginners course comprehensively introduces Python programming. You will learn the basics of Python syntax, data structures, control flow, and functions. By the end of this course, you will have a solid understanding of Python fundamentals and be ready to dive deeper into advanced concepts.
In the Machine Learning Basics course, you will explore the fundamentals of machine learning. You will learn different machine learning algorithms, such as regression, classification, and clustering, and understand how to train and evaluate models. Through hands-on projects, you will gain practical experience in developing machine-learning solutions.
The Data Analytics course focuses on the art of extracting insights from data. You will learn data preprocessing techniques, exploratory data analysis, and data visualisation using Python libraries such as NumPy, Pandas, and Matplotlib. This course will equip you with the skills to make data-driven decisions and effectively communicate findings.
Who is this course for?
This course is ideal for the following:
- Aspiring data analysts seeking to enhance their skills in Python and data analytics.
- Professionals are interested in entering the field of machine learning and data science.
- Software developers want to expand their knowledge into machine learning and data analytics.
- Business analysts who want to leverage Python and data analytics to gain valuable insights.
- Students or graduates looking to enhance their employability with in-demand skills.
Career path
People tend to pursue these career paths in this sector:
- Data Analyst: £25,000 - £45,000 per year
- Machine Learning Engineer: £40,000 - £70,000 per year
- Data Scientist: £45,000 - £80,000 per year
- Business Analyst: £30,000 - £55,000 per year
- Python Developer: £35,000 - £60,000 per year
- Data Engineer: £40,000 - £70,000 per year
- Research Scientist: £40,000 - £75,000 per year
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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.