Chevron Left
返回到 Fundamentals of Scalable Data Science

学生对 IBM 提供的 Fundamentals of Scalable Data Science 的评价和反馈

4.3
1,834 个评分
398 条评论

课程概述

Apache Spark is the de-facto standard for large scale data processing. This is the first course of a series of courses towards the IBM Advanced Data Science Specialization. We strongly believe that is is crucial for success to start learning a scalable data science platform since memory and CPU constraints are to most limiting factors when it comes to building advanced machine learning models. In this course we teach you the fundamentals of Apache Spark using python and pyspark. We'll introduce Apache Spark in the first two weeks and learn how to apply it to compute basic exploratory and data pre-processing tasks in the last two weeks. Through this exercise you'll also be introduced to the most fundamental statistical measures and data visualization technologies. This gives you enough knowledge to take over the role of a data engineer in any modern environment. But it gives you also the basis for advancing your career towards data science. Please have a look at the full specialization curriculum: https://www.coursera.org/specializations/advanced-data-science-ibm If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link ibm.biz/badging. After completing this course, you will be able to: • Describe how basic statistical measures, are used to reveal patterns within the data • Recognize data characteristics, patterns, trends, deviations or inconsistencies, and potential outliers. • Identify useful techniques for working with big data such as dimension reduction and feature selection methods • Use advanced tools and charting libraries to: o improve efficiency of analysis of big-data with partitioning and parallel analysis o Visualize the data in an number of 2D and 3D formats (Box Plot, Run Chart, Scatter Plot, Pareto Chart, and Multidimensional Scaling) For successful completion of the course, the following prerequisites are recommended: • Basic programming skills in python • Basic math • Basic SQL (you can get it easily from https://www.coursera.org/learn/sql-data-science if needed) In order to complete this course, the following technologies will be used: (These technologies are introduced in the course as necessary so no previous knowledge is required.) • Jupyter notebooks (brought to you by IBM Watson Studio for free) • ApacheSpark (brought to you by IBM Watson Studio for free) • Python We've been reported that some of the material in this course is too advanced. So in case you feel the same, please have a look at the following materials first before starting this course, we've been reported that this really helps. Of course, you can give this course a try first and then in case you need, take the following courses / materials. It's free... https://cognitiveclass.ai/learn/spark https://dataplatform.cloud.ibm.com/analytics/notebooks/v2/f8982db1-5e55-46d6-a272-fd11b670be38/view?access_token=533a1925cd1c4c362aabe7b3336b3eae2a99e0dc923ec0775d891c31c5bbbc68 This course takes four weeks, 4-6h per week...

热门审阅

ZS
Jan 13, 2021

The contents of this course are really practical and to the point. The examples and notebooks are also up to date and are very useful. i really recommend this course if you want to start with Spark.

AA
Jan 6, 2020

A very nice introduction to Apache Spark and it's environment. As a bonus, it's also a very nice refresher to your basic statistics!!! Great course!

筛选依据:

126 - Fundamentals of Scalable Data Science 的 150 个评论(共 398 个)

创建者 George D

Jan 5, 2019

Great! Good demonstration of basic stats using IBM Cloud & Spark.

创建者 Ulugbek D

Jan 26, 2020

General into into how to deal with large data using Apache Spark

创建者 BALAJI K

Jun 5, 2017

This is a very nice introductory course for exploring IoT data.

创建者 Rahul

Jul 16, 2020

Romeo is Very good at explaining complex things in easy words.

创建者 Vignesh

Jun 27, 2020

Excellent opportunity for beginners to gain knowledge on Spark

创建者 Erik A

Mar 7, 2017

This was a good course. The autograder has some issues though.

创建者 Eric B

May 10, 2020

Phenomenal course with great instructor. Definitely recommend

创建者 Sushil A

Apr 19, 2020

A nice course, more practical examples will be appreciated.

创建者 Tom V

Nov 22, 2019

Nice course covering the basics. Not very difficult though.

创建者 Santos P C

Apr 25, 2017

I like it for beginners. Is a good satarting point. Thanks.

创建者 NAVNEETH V H R D o E

Jul 3, 2020

Good experience and the pace of the course was a bit fast.

创建者 Rohith P

Mar 30, 2019

Good introduction course to Apache Spark and its internals

创建者 likhith k

Nov 27, 2020

Course gives a clear knowledge on basics of data science.

创建者 Ojo s

Oct 9, 2020

Very detailed and well taught. The tutor did a great job

创建者 Tram N L

May 18, 2020

detailed instructions and easy to understand explanation

创建者 Anton I N B

Mar 5, 2020

I learned using Spark with RDDs on IBM Watson Studio 👍

创建者 He Q

Aug 26, 2019

easy and understandable, but the assignments lack depth

创建者 Prashanth A

Jun 27, 2020

Learned the data manipulation basics in data science

创建者 Hemani B

Jun 12, 2020

EXcellent to get in depth knowledge in data science

创建者 Muntakimur R

Nov 15, 2019

Very Informative course, thanks IBM for this course

创建者 Ankur S

Nov 12, 2019

One of the Best Courses available here on Coursera.

创建者 Phasit C

Sep 2, 2018

great introduction about Apache Spark and IBM Cloud

创建者 Mukund S

Jun 4, 2020

Really a good course for Data Science Programming.

创建者 Phuoc H L

Dec 28, 2019

Love the content, simple and clear are the best.

创建者 Julien P

Sep 15, 2019

Nice material! Especially the week on plotting.