Become a Data Analyst Learning Path (LinkedIn Learning Course-of-the-Month) - Newark Public Library

Become a Data Analyst Learning Path (LinkedIn Learning Course-of-the-Month)

Data analysts examine information using data analysis tools and help their teams develop insights and business strategies. You’ll need skills in math, statistics, communications, and working with tools designed to do data analytics and data visualization. Explore this high-demand career.

Learn the technical skills for data analyst career paths.

Develop your competencies in high-demand analysis tools.

Build communication, teamwork, and problem-solving skills.

This is a virtual, on-demand group of courses. To access:

1) Go to bit.ly/LinkedInLearningNPL OR click on the LinkedIn Learning logo on npl.org.

2) Enter your library card number and PIN (last 4 digits)

3) Search “Become a Data Analyst”

Courses in this Learning Path:

1) The Non-Technical Skills of Effective Data Scientists Learn the nontechnical skills that effective data scientists must nurture to convert their first job into a successful, lifelong career.

2) Learning Excel: Data Analysis Unlock the power of your organization’s data. Learn how to perform data analysis in Microsoft Excel.

3) Data Literacy: Exploring and Describing Data Learn the fundamentals of data fluency and how data can help you make better decisions.

4) Learning Data Analytics: 1 Foundations This course covers foundational data analysis skills such as thinking like an analyst, gathering useful data, SQL queries, data cleaning, and more. Are you ready to be an analyst?

5) Learning Data Analytics Part 2: Extending and Applying Core Knowledge Learn how to provide quality data sets and accurate visualizations and explore practical skills to get the most from your data.

6) Excel Statistics Essential Training: 1 Learn statistics with the help of Microsoft Excel.

7) Predictive Analytics Essential Training: Data Mining Get useful, real-world insights into using predictive analysis and data mining to solve problems.

8) Power BI Essential Training Get started with Power BI. Learn how to use this powerful set of business analytics tools to create and share visualizations with others in your organization.

9) Learning Data Visualization Communicate complex ideas quickly and thoroughly with data visualization. Entice and inform your audience with effective, and maybe creative, design.

10) Tableau Essential Training Learn what you need to know to analyze and display data using Tableau 2023. Discover how to leverage the software to make smarter, more data-driven decisions.

11) SQL: Data Reporting and Analysis Get the data you need for analysis and reporting by writing your own SQL code. Learn how to write basic SQL queries, sort and filter data, and join results from different tables.

12) R Essential Training: Wrangling and Visualizing Data Learn how to wrangle data and create meaningful visualizations with R, the programming language powering modern data science.

13) Data Cleaning in Python Essential Training Improve the overall analytic workflow of your organization by boosting your data cleaning skills in Python.