Data scientist is one of the hottest jobs in information technology. It is important to nearly every organization and industry, but the skills that recruiters are looking for will vary across businesses and industries. Certifications are a fantastic way to gain an edge because they open up avenues for you to develop skills that are hard to find in your desired industry. They’re also a way to back up your skills, so recruiters and hiring managers know what they’re getting if they hire you, making you an ideal candidate.
Whether you’re looking to earn a certification from an accredited university, gain some experience as a new graduate, hone vendor-specific skills or demonstrate your broad knowledge of data analytics, these certifications will work in your favor.
Over 201,000 students have taken this course and it has an average rating of 4.5 out of 5. It is one of the Best Machine Learning Course and it is developed by Kirill Eremenko, Data Scientist & Forex Systems Expert and Hadelin de Ponteves, Data Scientist.
This course will teach you to Master Machine Learning on Python and R, make accurate predictions, build a great intuition of many machine learning models, handle specific tools like reinforcement learning, NLP, and Deep Learning. Most importantly it teaches you to choose the right model for each type of problem. Basic high school mathematics is all you are supposed to know to take up this course. With 40 hours of learning + 19 articles, this prepares you thoroughly.
Earn a Microsoft Machine Learning certification and build your professional career in Machine Learning, Data Science and Analytics. This certification demonstrates your expertise in operationalizing Microsoft Azure machine learning and Big Data with R Server and SQL R Services. It demonstrates knowledge relevant to Machine Learning, Data Scientists and Data Analysts positions, particularly those who process and analyze large data sets using R and use Azure cloud services to build and deploy intelligent solutions. It is the first step on your path to becoming a Data Management and Analytics Microsoft Certified Solutions Expert (MCSE).
This specialization from the University of Michigan focuses primarily on working with machine learning through Python, and it gives a strong introduction to commonly used ML toolkits, like matplotlib, pandas, nltk, scikit-learn, and networkx.
To take these courses, you’ll need to be familiar with Python or programming in general. There are some great lectures in the first course dealing with some of the more advanced Python features you’ll need to process data effectively.
The Big Data Certification offered through UC San Diego’s extension school offers online and in-person courses, workshops and boot camps. Courses focus on data mining, analyzing spatial-data with GIS, building predictive models, and using machine-learning algorithms. You can opt for a more specialized data certification with the Data Mining for Advanced Analytics Certificate.
You’ll need an undergraduate degree to earn Columbia University’s Certification of Professional Achievement in Data Sciences. It requires a background in quantitative coursework, which includes calculus, linear algebra, and similar subjects. The course focuses on preparing students for a career in data science – it’s best suited for those looking to advance their careers or change their career path to data science.
Frank Kane, the author of this course spent 9 years at Amazon and IMDb, developing and managing the technology that automatically powers movie and product recommendations which influence millions of people around the world.
In technical terms, this machine learning tutorial will help you extract meaning from large datasets using a wide variety of data science, data mining and machine learning techniques using Python. Along with that, you will get to apply your learning as well.
The Professional Certificate Program from MIT in Machine Learning and Artificial Intelligence enables you to learn the essential concepts and skills needed to develop effective AI systems. It helps you understand the challenges posed by AI in the workplace and apply cutting-edge, industry-relevant knowledge in machine learning and AI. Additionally, you also get to network with an accomplished group of peers from around the globe.
However, if you’re looking for a more customized course where you not only get well-trained but also get an understanding of what it is like applying all that knowledge at a job, without leaving the country, then opt for this course. It gives you a 2-month classroom hands-on + online project with an internship all rolled into one.
Mentioned above are some of the Best Machine Learning Courses and Deep Learning Courses for 2018 which we hope puts you in the fast lane and help you get ahead in your careers.