IBM Data Science Professional Certificate 专项课程

于 Nov 20 开始

IBM Data Science Professional Certificate

Kickstart your Career in Data Science & ML。Master data science, learn Python & SQL, analyze & visualize data, build machine learning models.

关于此证书

Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning. This program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets. It is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics. Upon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.

制作方:

courses
9 courses

按照建议的顺序或选择您自己的顺序。

projects
项目

旨在帮助您实践和应用所学到的技能。

certificates
证书

在您的简历和领英中展示您的新技能。

项目概览

课程
初级证书
No prior experience required.
  1. 第 1 门课程

    What is Data Science?

    课程学习时间
    3 weeks of study, 2-3 hours/week
    字幕
    英语(English), 阿拉伯语(Arabic)

    课程概述

    The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since
  2. 第 2 门课程

    Open Source tools for Data Science

    课程学习时间
    3 weeks of study, 2-3 hours/week
    字幕
    英语(English)

    课程概述

    What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience. You will learn about what each tool is
  3. 第 3 门课程

    Data Science Methodology

    课程学习时间
    3 weeks of study, 2 - 3 hours/week
    字幕
    英语(English)

    课程概述

    Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding o
  4. 第 4 门课程

    Python for Data Science

    字幕
    英语(English), 德语(German)

    课程概述

    This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours. Module 1 - Python Basics o
  5. 第 5 门课程

    Databases and SQL for Data Science

    课程学习时间
    3-4 weeks of study, 2-4 hours/week.
    字幕
    英语(English), 阿拉伯语(Arabic)

    课程概述

    Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to bec
  6. 第 6 门课程

    Data Analysis with Python

    课程学习时间
    This course requires approximately two hours a week for six weeks
    字幕
    英语(English), 阿拉伯语(Arabic)

    课程概述

    Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful
  7. 第 7 门课程

    Data Visualization with Python

    课程学习时间
    3 weeks of study, 4-5 hours/week
    字幕
    英语(English)

    课程概述

    "A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role i
  8. 第 8 门课程

    Machine Learning with Python

    课程学习时间
    5-6 weeks of study, 3-6 hours per week
    字幕
    英语(English)

    课程概述

    This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. In this course, we will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and
  9. 第 9 门课程

    Applied Data Science Capstone

    课程学习时间
    5 weeks of study, 6-7 hours/week
    字幕
    英语(English)

    课程概述

    This capstone project course will give you a taste of what data scientists go through in real life when working with data. You will learn about location data and different location data providers, such as Foursquare. You will learn how to make RESTfu

制作方

  • IBM

    Data Science at Speed and Scale - IBM.

    IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.

  • Joseph Santarcangelo

    Joseph Santarcangelo

    Ph.D., Data Scientist at IBM
  • Polong Lin

    Polong Lin

    Data Scientist
  • Alex Aklson

    Alex Aklson

    Ph.D., Data Scientist
  • Rav Ahuja

    Rav Ahuja

    Data Science Program Manager
  • SAEED AGHABOZORGI

    SAEED AGHABOZORGI

    Ph.D., Sr. Data Scientist

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