Online Data Science with Python Training Course 2023
EduCBA
Summary
- Course Completion Certificates - Free
- Exam(s) / assessment(s) is included in price
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Overview
This course is intended for students who are familiar with Python and are eager to learn more about using it to data science and machine learning.
Course media
Description
We've designed this course to help students gain a set of skills that will make them incredibly employable in today's employment environment, where the median starting wage for a data scientist can be over $150,000 dollars.
We'll go through all the information you require to use the whole data science and machine learning software stack used by the biggest corporations in the world. Our graduates have landed jobs at prestigious tech firms including McKinsey, Facebook, Amazon, Google, Apple, Asana, and more!
The following topics are covered in this extensive course, which is created to be comparable to bootcamps, which typically cost thousands of dollars:
NumPy with Python, Deep dive into Pandas for Data Analysis, Full understanding of Matplotlib Programming Library,Deep dive into seaborn for data visualizations.
Machine Learning with SciKit Learn, including: Linear Regression, Regularization, Lasso Regression, Ridge Regression, Elastic Net, K Nearest Neighbors, K Means Clustering, Decision Trees, Random Forests, Natural Language Processing, Support Vector Machines,Hierarchal Clustering,
DBSCAN, PCA, Model Deployment etc
In order to provide you with a clear and systematic approach that will help you understand not just how to utilise data science and machine learning libraries, but also why we use them, we've designed the course utilising our expertise teaching both online and in-person. In this course, the mathematical theory underlying the machine learning algorithms is balanced with applications to real-world cases.
Most other courses don't cover the advanced machine learning algorithms that we do! including cutting-edge regularisation techniques and cutting-edge unsupervised learning techniques, like DBSCAN.
Who is this course for?
Individuals looking to transition into a career in data science or related fields
Requirements
- System Configuration: We recommend using any PC or laptop with a processor i3+ and the RAM recommendation should be at least 4GB with smooth internet connectivity.
- Passion to Learn: You need to start your course with high motivation and passion to learn. Be honest with yourself.
Career path
- Professional looking for Analytics: Every sector of the industry is moving towards analytics. They are working with a high volume of data for their business growth. They are attracting new tools and technologies.
- Job career: People who are keen to learn and work in domains like Machine Learning, Artificial Intelligence, Business Intelligence, and Data Analyst.
Questions and answers
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Certificates
Course Completion Certificates
Digital certificate - Included
you get a verifiable certificate for course with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced sound engineering skills
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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.
