统计与数据科学微硕士

Statistics and Data Science

掌握解决复杂数据挑战所需的技能

麻省理工学院

edX

计算机

极难(专业级)

15 个月

  • 英语
  • 1552

课程概况

Demand for professionals skilled in data, analytics, and machine learning is exploding. A recent report by IBM and Burning Glass states that there will be 364K new job openings in data-driven professions by 2020 in the US. Data scientists bring value to organizations across industries because they are able to solve complex challenges with data and drive important decision-making processes. 39% of the most rigorous data science positions require a degree higher than a bachelor’s.

This MicroMasters program in Statistics and Data Science is comprised of four online courses and a virtually proctored exam that will provide you with the foundational knowledge essential to understanding the methods and tools used in data science, and hands-on training in data analysis and machine learning. You will dive into the fundamentals of probability and statistics, as well as learn, implement, and experiment with data analysis techniques and machine learning algorithms. This program will prepare you to become an informed and effective practitioner of data science who adds value to an organization. The program certificate can be applied, for admitted students, towards a PhD in Social and Engineering Systems (SES) through the MIT Institute for Data, Systems, and Society (IDSS) or may accelerate your path towards a Master’s degree at other universities around the world.

Anyone can enroll in this MicroMasters program. It is designed for learners that want to acquire sophisticated and rigorous training in data science without leaving their day job but without compromising quality. There is no application process but college-level calculus and comfort with mathematical reasoning and Python programming are highly recommended if you want to excel. All the courses are taught by MIT faculty at a similar pace and level of rigor as an on-campus course at MIT. This program brings MIT’s rigorous, high-quality curricula and hands-on learning approach to learners around the world – at scale.

For more detail on this program and credit pathways, please visit https://micromasters.mit.edu/ds/

你将学到什么

掌握数据科学,统计和机器学习的基础

通过概率建模和统计推断分析大数据并做出以数据为依据的预测;确定并部署适当的建模和方法,以提取有意义的信息以供决策

开发和构建机器学习算法,以从看似非结构化的数据中提取有意义的信息;学习流行的无监督学习方法,包括聚类方法和有监督方法,例如深度神经网络

完成此MicroMasters程序将为您准备职位,例如:数据科学家,数据分析师,商业智能分析师,系统分析师,数据工程师

包含课程

概率-不确定性与数据科学
Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference -- Course 1 of 4 in the MITx MicroMasters program in Statistics and Data Science.

社会科学中的数据分析-评估知识
Learn the methods for harnessing and analyzing data to answer questions of cultural, social, economic, and policy interest, and then assess that knowledge— Course 2 of 4 in the MITx MicroMasters program in Statistics and Data Science.

统计基础
Develop a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing and prediction. -- Course 3 of 4 in the MITx MicroMasters program in Statistics and Data Science.

使用Python进行机器学习:从线性模型到深度学习
An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. -- Course 4 of 4 in the MITx MicroMasters program in Statistics and Data Science.

统计和数据科学的顶峰考试
Solidify and demonstrate your knowledge and abilities in probability, data analysis, statistics, and machine learning in this culminating assessment. -- Final Requirement of the MITx MicroMasters Program in Statistics and Data Science.

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