About this Specialization
This specialization is intended for data analysts looking to expand their toolbox for working with data. Traditionally, data analysts have used tools like relational databases, CSV files, and SQL programming, among others, to perform their daily workflows. In this specialization, you will leverage existing skills to learn new ones that will allow you to utilize advanced technologies not traditionally linked to this role - technologies like Databricks and Apache Spark. By the end of this specialization, you'll be able to solve real-world business problems with Databricks and the most popular machine learning techniques.
| From | Databricks via Coursera |
|---|---|
| Hours | 85 |
| Instructors | Kevin Coyle, Mark Roepke, Emma Freeman, Kate Sullivan |
| Language | English |
| Subjects | Data Science Programming Mathematics |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
IT Business Analysts $52k
Data Process Analysts $54k
Application Operations Analysts $55k
ENVIRONMENTAL ANALYSTS $58k
Quality Control Analysts $61k
Data Analysts $62k
Logistics Analysts $63k
Procurement Analysts $68k
Business Data Analysts $70k
EPIC Analysts $73k
Security Analysts $73k
Product Analysts $81k
Courses in this Specialization
Listed in the order in which they should be taken
| Starts | Course Information | |
|---|---|---|
|
Jun |
Apache Spark (TM) SQL for Data Analysts Apache Spark is one of the most widely used technologies in big data analytics. In this course, you will learn how to leverage your existing SQL skills to start working with Spark... Coursera | Databricks |
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Jun |
Data Science Fundamentals for Data Analysts In this course we're going to guide you through the fundamental building blocks of data science, one of the fastest-growing fields in the world! With the help of our... Coursera | Databricks |
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Jun |
Applied Data Science for Data Analysts In this course, you will develop your data science skills while solving real-world problems. You'll work through the data science process to and use unsupervised learning to... Coursera | Databricks |
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&
| From | Databricks via Coursera |
|---|---|
| Hours | 85 |
| Instructors | Kevin Coyle, Mark Roepke, Emma Freeman, Kate Sullivan |
| Language | English |
| Subjects | Data Science Programming Mathematics |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
IT Business Analysts $52k
Data Process Analysts $54k
Application Operations Analysts $55k
ENVIRONMENTAL ANALYSTS $58k
Quality Control Analysts $61k
Data Analysts $62k
Logistics Analysts $63k
Procurement Analysts $68k
Business Data Analysts $70k
EPIC Analysts $73k
Security Analysts $73k
Product Analysts $81k
Similar Courses
Sorted by relevance
