This course presents a gentle introduction into the concepts of data analysis, the role of a Data Analyst, and the tools that are used to perform daily functions. You will gain an understanding of the data ecosystem and the fundamentals of data analysis, such as data gathering or data mining. You will then learn the soft skills that are required to effectively communicate your data to stakeholders, and how mastering these skills can give you the option to become a data driven decision maker.
от партнера
IBM Skills NetworkОб этом курсе
Недавно просмотрено: 989 333
Карьерные результаты учащихся
10%
начал новую карьеру, пройдя эти курсы
16%
получил значимые преимущества в карьере благодаря этому курсу
Гибкие сроки
Назначьте сроки сдачи в соответствии со своим графиком.
Сертификат, ссылками на который можно делиться с другими людьми
Получите сертификат по завершении
100% онлайн
Начните сейчас и учитесь по собственному графику.
Начальный уровень
Прибл. 10 часов на выполнение
Английский
Субтитры: Арабский, Французский, Португальский (Европа), Итальянский, Вьетнамский, Немецкий, Русский, Английский, Испанский
Чему вы научитесь
Explain what Data Analytics is and the key steps in the Data Analytics process.
Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst.
Describe the different types of data structures, file formats, sources of data, and data repositories.
Identify key elements in the Data Analytics process by analyzing a business case study and its data set.
Приобретаемые навыки
- Data Science
- Spreadsheet
- Data Analysis
- Microsoft Excel
Карьерные результаты учащихся
10%
начал новую карьеру, пройдя эти курсы
16%
получил значимые преимущества в карьере благодаря этому курсу
Гибкие сроки
Назначьте сроки сдачи в соответствии со своим графиком.
Сертификат, ссылками на который можно делиться с другими людьми
Получите сертификат по завершении
100% онлайн
Начните сейчас и учитесь по собственному графику.
Начальный уровень
Прибл. 10 часов на выполнение
Английский
Субтитры: Арабский, Французский, Португальский (Европа), Итальянский, Вьетнамский, Немецкий, Русский, Английский, Испанский
от партнера
IBM Skills Network
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
Программа курса: что вы изучите
2 ч. на завершение
What is Data Analytics
In this module, you will learn about the different types of data analysis and the key steps in a data analysis process. You will gain an understanding of the different components of a modern data ecosystem, and the role Data Engineers, Data Analysts, Data Scientists, Business Analysts, and Business Intelligence Analysts play in this ecosystem. You will also learn about the role, responsibilities, and skillsets required to be a Data Analyst, and what a typical day in the life of a Data Analyst looks like.
2 ч. на завершение
9 видео ((всего 40 мин.)), 3 материалов для самостоятельного изучения, 4 тестов
3 ч. на завершение
The Data Ecosystem
In this module, you will learn about the different types of data structures, file formats, sources of data, and the languages data professionals use in their day-to-day tasks. You will gain an understanding of various types of data repositories such as Databases, Data Warehouses, Data Marts, Data Lakes, and Data Pipelines. In addition, you will learn about the Extract, Transform, and Load (ETL) Process, which is used to extract, transform, and load data into data repositories. You will gain a basic understanding of Big Data and Big Data processing tools such as Hadoop, Hadoop Distributed File System (HDFS), Hive, and Spark.
3 ч. на завершение
11 видео ((всего 67 мин.)), 2 материалов для самостоятельного изучения, 4 тестов
2 ч. на завершение
Gathering and Wrangling Data
In this module, you will learn about the process and steps involved in identifying, gathering, and importing data from disparate sources. You will learn about the tasks involved in wrangling and cleaning data in order to make it ready for analysis. In addition, you will gain an understanding of the different tools that can be used for gathering, importing, wrangling, and cleaning data, along with some of their characteristics, strengths, limitations, and applications.
2 ч. на завершение
7 видео ((всего 40 мин.)), 2 материалов для самостоятельного изучения, 4 тестов
2 ч. на завершение
Mining & Visualizing Data and Communicating Results
In this module, you will learn about the role of Statistical Analysis in mining and visualizing data. You will learn about the various statistical and analytical tools and techniques you can use in order to gain a deeper understanding of your data. These tools help you to understand the patterns, trends, and correlations that exist in data. In addition, you will learn about the various types of data visualizations that can help you communicate and tell a compelling story with your data. You will also gain an understanding of the different tools that can be used for mining and visualizing data, along with some of their characteristics, strengths, limitations, and applications.
2 ч. на завершение
8 видео ((всего 44 мин.)), 2 материалов для самостоятельного изучения, 4 тестов
Рецензии
- 5 stars80 %
- 4 stars16,92 %
- 3 stars2,16 %
- 2 stars0,35 %
- 1 star0,55 %
Лучшие отзывы о курсе INTRODUCTION TO DATA ANALYTICS
от партнера VA7 февр. 2022 г.
Excellent course to gain an introduction to Data Analytics. A wide variety of topics are covered with good depth and insights from professionals. would like to see more reading content.
от партнера SC16 окт. 2021 г.
Pretty good course. In my opinion the reading material was a bit brief and did not really cover the quiz questions. Other than that though it was pretty clear and relatively easy to understand.
от партнера JT23 янв. 2022 г.
This course offers a comprehensible introduction to Data Analytics. It helped me to expand my research into broader concepts, and about software available for data wrangling and visualization.
от партнера MK8 мая 2021 г.
Very beginner friendly course. Which enables one to take decisions on whether or not to pursue Data Analytics and also helps in deciding which career track in Data Analytics is right for you.
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