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The top courses for aspiring data scientists


Here are four courses that can give you the necessary skills to lead businesses in the 21st century. All of them include Python programming as a course component. Most of them require an undergraduate knowledge of statistics, calculus, linear algebra, and probability, so we recommend checking your course of interest for the specifics.



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Data science, artificial intelligence, and machine learning – from theories and nascent beginnings, these fields have grown to become extremely important not just to IT, e-commerce, and entertainment, but also financial services, pharmaceuticals, disease prevention and public health services as well diagnostic tools. The opportunities are immense, and you only need to equip yourself for them. 

Here are four courses that can give you the necessary skills to lead businesses in the 21st century. All of them include Python programming as a course component. Most of them require an undergraduate knowledge of statistics, calculus, linear algebra, and probability, so we recommend checking your course of interest for the specifics. 

 
Applied Data Science Course from Columbia Engineering Executive Education*
Start: November 17, 2020 | Duration: 5 months, 6 - 8 hours per week  | Program Fee: US$2,350

This course will help you use data science to solve real-world problems through Python programming, data examination, discovering hidden trends and useful insights, extracting quality information from analysis of text-data (Facebook or Twitter posts and comments), identifying commonalities between data points to form groups in a larger sets, and more. Assignments include data wrangling using the CNC Mill Tool Wear Dataset and Natural Language Processing (NLP) implementation.  

 
Professional Certificate in Applied Data Science from the Thayer School of Engineering at Dartmouth
Start: December 3, 2020 | Duration: 6 months, 10 - 15 hours per week  | Program Fee: US$6,500

Harness the power of data science and analytics through Python coding, visualizations, linear and logistic regression models, and common machine learning algorithms. Assignments include RFM analysis to identify profitable customers as well as a final capstone project that helps you compose a data science portfolio.

 
Postgraduate Diploma in Machine Learning and Artificial Intelligence from Columbia Engineering Executive Education*
Start: December 3, 2020 | Duration: 9 months, 6 - 8 hours per week  | Program Fee: US$3,300

This detailed post graduate diploma will help you gain a deep knowledge of the math of machine learning, the principles and practices of artificial intelligence (AI) and how to put them to work, the basics of heuristic, adversarial, and uniformed search, game creation and NLP. Assignments include building engines and writing algorithm code, applying workflows, constraint optimization techniques and NLP analysis.

 
Postgraduate Diploma in Applied Data Science from Columbia Engineering Executive Education*
Start: December 14, 2020 | Duration: 9 months, 6 - 8 hours per week  | Program Fee: US$3,000

The postgraduate diploma will help you be at the forefront of the data revolution with the critical foundations of statistics and probability, data extraction, machine learning models, key statistical and probability concepts, and data interpretation skills with text mining and time series analysis. Assignments include extraction, distribution and sampling of data, hypothesis testing, machine learning classification and more. 

 
*Digital certificate from Emeritus in collaboration with Columbia Engineering Executive Education


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