Data Analytics Basics for Everyone
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In this course, you will learn about the various components of a modern data ecosystem and the role Data Analysts, Data Scientists, and Data Engineers play in this ecosystem. You will gain an understanding of data structures, file formats, sources of data, and data repositories. You will understand what Big Data is and the features and uses of some of the Big Data processing tools.
This course will introduce you to the key tasks a Data Analyst performs in a typical day. This includes how they identify, gather, wrangle, mine and analyze data, and finally communicate their findings to different stakeholders impactfully. You will be introduced to some of the tools Data Analysts use for each of these tasks.
You will learn about the features and use of relational and non-relational databases, data warehouses, data marts, and data lakes. You will understand how ETL, or Extract-Transform-Load, process converts raw data into analysis-ready data. And what are some of the specific languages used by data analytics to extract, prepare, and analyze data.
By the end of this course you will know about the various career opportunities available in the field of Data Analytics, and the different learning paths you can consider to gain entry into this field.
The course ends with some exercises and a hands-on lab to test your understanding of some of the basic data gathering, wrangling, mining, analysis, and visualization tasks.
What you'll learn
- 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, and sources of data
- Explain the use for different types of data repositories, the ETL process, and Big Data platforms
- Describe the process and tools for gathering data, wrangling data, mining and analyzing data, and visualizing data
- List the different career opportunities in Data Analysis and resources for getting skilled in this domain
- Demonstrate your understanding of gathering, wrangling, mining, analyzing, and visualizing data
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| Rating | Not enough ratings |
|---|---|
| Length | 5 weeks |
| Effort | 5 weeks, 2–3 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $99 |
| From | IBM via edX |
| Instructor | Rav Ahuja |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science |
| Tags | Data Analysis & Statistics |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Data Analytics (Statistics) $47k
Advanced Analytics Data Specialist $60k
Data Analytics Instructor $70k
IT Data Analytics Analyst $74k
Big Data Analytics Developer - IoT Analytics $80k
Analyst - Data & Analytics $89k
Data Analytics Developer $99k
Analytics Data Architect $106k
Data Scientist, Risk Analytics $109k
Associate Senior Data Analytics $122k
Head of Data Analytics $129k
Data Scientist (Data Analytics group) $138k
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| Rating | Not enough ratings |
|---|---|
| Length | 5 weeks |
| Effort | 5 weeks, 2–3 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $99 |
| From | IBM via edX |
| Instructor | Rav Ahuja |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science |
| Tags | Data Analysis & Statistics |
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