Data Science and Machine Learning using Python – A Bootcamp
Course
Online
Description
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Type
Course
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Level
Intermediate
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Methodology
Online
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Duration
1 Year
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Start date
Different dates available
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Online campus
Yes
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Delivery of study materials
Yes
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Support service
Yes
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Virtual classes
Yes
Data scientist is the most demanding job right now in the UK. The demand for the job is rising to 231%, almost tripled over the last five years. Become a Data Science specialist with this comprehensive Data Science and Machine Learning course. This Data Science and Machine Learning using Python course is designed by the industry experts and aims to equip you with all the essential knowledge and skills to become a successful Data Scientist.
In this comprehensive Data Science and Machine Learning using Python course, you will get in-depth knowledge and understanding of Panda data structures, basic python programming for data science and machine learning, K Mean clustering, bootstrap, bagging, SciKit-Learn. arrays, built-in methods, array methods and attributes and much more.
By the end of this Data Science and Machine learning course you will develop strong solid understanding and working knowledge of data science concepts using python. You will be able to complete more faster than before with clear understanding on data science and machine learning. The accredited certification from this course will enhance the value of your CV and make you worthy in the job market. So, enrol in the Data Science and Machine learning course today and enter the amazing world of data science.
Facilities
Location
Start date
Start date
About this course
Develop your understanding on Python to analyse data
Learn how to use Python to create visualisation and machine learning for informed decision making.
Understand Numpy to facilitate numeric data
Learn how to use Pandas for data analysis
Learn key concept and strategies of Plotting for data analysis
Understand Skit- Learn and how to implement it for machine learning
Get clear understanding of natural language processing and spam filters
Explore Plotty and learn how to make interactive dynamic visualizations
This Data Science course is suitable for anyone who is interested in the trade of data science and machine learning and wants to have a better understanding of the fundamentals. It is also great for working professionals who have practical knowledge but require a theoretical understanding of electricity along with a CPD accredited certification to boost up his resume.
This course will boost up your resume if you are looking towards a career as an electrician or want to acquire extensive knowledge to work in the electrical engineering field. The certificate you will obtain is CPD accredited, it will help you stand out in the ever-competitive job market from your peers.
The Data Science and Machine Learning using Python course is open to all, with no formal entry requirements. All you need is a passion for learning, a good understanding of the English language, numeracy and IT, and to be over the age of 16.
There are no specific prerequisites to attend this course, as it is designed as an introductory course for anyone interested in the trade. All the modules are fully accessible from any internet-enabled smart device.
Upon successful completion, you will qualify for the UK and internationally-recognised professional qualification and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £9 and Hardcopy Certificate for £15.
Whether you’re an existing practitioner or aspiring professional, this course will enhance your expertise and boost your CV with key skills and an accredited qualification attesting to your knowledge.
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The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 5 years
Subjects
- Data analysis
- Environment
- Learning
- Regression
- Pandas
- Visualization
- Matplotlib
- Python Essentials
- Seaborn
- Cufflinks
- Plotly
Course programme
- Welcome, Course Introduction & overview, and Environment set-up
- Python Essentials
- Python for Data Analysis using NumPy
- Python for Data Analysis using Pandas
- Python for Data Visualization using matplotlib
- Python for Data Visualization using Seaborn
- Python for Data Visualization using pandas
- Python for interactive & geographical plotting using Plotly and Cufflinks
- Capstone Project - Python for Data Analysis & Visualization
- Python for Machine Learning (ML) - scikit-learn - Linear Regression Model
- Python for Machine Learning - scikit-learn - Logistic Regression Model
- Python for Machine Learning - scikit-learn - K Nearest Neighbors
- Python for Machine Learning - scikit-learn - Decision Tree and Random Forests
- Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs)
- Python for Machine Learning - scikit-learn - K Means Clustering
- Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA)
- Recommender Systems with Python - (Additional Topic)
- Python for Natural Language Processing (NLP) - NLTK - (Additional Topic)
Data Science and Machine Learning using Python – A Bootcamp