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.
Offert par
IBMÀ propos de ce cours
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Résultats de carrière des étudiants
13%
ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
Dates limites flexibles
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Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
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Niveau débutant
Approx. 10 heures pour terminer
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Sous-titres : Arabe, Français, Portugais (européen), Italien, Vietnamien, Allemand, Russe, Anglais, Espagnol
Ce que vous allez apprendre
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.
Compétences que vous acquerrez
- Data Science
- Spreadsheet
- Data Analysis
- Microsoft Excel
Résultats de carrière des étudiants
13%
ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Niveau débutant
Approx. 10 heures pour terminer
Anglais
Sous-titres : Arabe, Français, Portugais (européen), Italien, Vietnamien, Allemand, Russe, Anglais, Espagnol
Offert par
IBM
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.
Programme de cours : ce que vous apprendrez dans ce cours
2 heures pour terminer
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 heures pour terminer
9 vidéos (Total 40 min), 3 lectures, 4 quiz
3 heures pour terminer
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 heures pour terminer
11 vidéos (Total 67 min), 2 lectures, 4 quiz
2 heures pour terminer
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 heures pour terminer
7 vidéos (Total 40 min), 2 lectures, 4 quiz
2 heures pour terminer
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 heures pour terminer
8 vidéos (Total 44 min), 2 lectures, 4 quiz
Avis
- 5 stars79,91 %
- 4 stars17,03 %
- 3 stars2,09 %
- 2 stars0,32 %
- 1 star0,63 %
Meilleurs avis pour INTRODUCTION TO DATA ANALYTICS
par MK8 mai 2021
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.
par HA12 mars 2021
Great general and broad information on data analytics. Gives good ideas and examples of career paths that can be followed. I especially liked how it ranked the various careers and specializations.
par XD11 août 2021
Very good course, giving beginners an overview of various aspects of data analysis, as well as having data analysts share their experiences, which is a great way for learners to get to know the field.
par AG6 déc. 2021
As a introduction course that is a wonderful course where we deal with basics of analytics. I expected lot more from this course . But then also it is wonderful course as a basic introduction.
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