Introduction to Career Skills in Data Analytics
- Offered byLinkedin Learning
- Private Institute
Introduction to Career Skills in Data Analytics at Linkedin Learning Overview
Duration | 3 hours |
Mode of learning | Online |
Difficulty level | Beginner |
Credential | Certificate |
Introduction to Career Skills in Data Analytics at Linkedin Learning Highlights
- Earn a sharable certificate
Introduction to Career Skills in Data Analytics at Linkedin Learning Course details
- Learn about business intelligence, data-driven decision-making, data collection methods, discovery, and interpretation, as well as how to structure, assess, and transform data using core functions in Excel and Power BI
- Gather insights from Robin on modeling, visualization, and mapping out the job market as an early-career analyst
- By the end of this course, you’ll have the skills you need to set out on a new career path and tackle the Microsoft GSI Data Analytics certification exam
Introduction to Career Skills in Data Analytics at Linkedin Learning Curriculum
Introduction
Starting out with data analytics
1. Introduction to Data and Data Analysis
Defining data analysis and roles in data analysis
Developing data fluency
Understanding how data governance impacts the data analyst
Understanding the importance of data quality
2. Introduction to Business Intelligence
What is BI and the value to business?
How are business analytics and BI different?
How data can provide intelligence to the organization
3. Identifying Data
Understanding the value of data-driven decision-making
Questioning techniques to collect the right data
Discovering and interpreting existing data
Data sources and structures
4. Preparing Data
Describing data best practices
Assessing and adapting the data for transformation
Understanding the rules of the data
Tips on preparing the data in Excel
5. Transforming Data
Transforming data in Excel with Power Query
Transforming data in SQL
Transforming data in Power BI
Common cleaning and transformation
Using built-in functions
6. Modeling Data
Relational databases
Modeling data for Power BI
Master data management
Unstructured data
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