Become a Data Analyst
Offered By: LinkedIn Learning
Course Description
Overview
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.
Syllabus
Courses under this program:
Course 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.
Course 2: Learning Excel: Data Analysis
-Unlock the power of your organization's data. Learn how to perform data analysis in Microsoft Excel.
Course 3: Data Fluency: Exploring and Describing Data (2019)
-Learn how anyone, in any industry, can speak the language of data analysis. Find out how to prepare data, explore it visually, and describe it using statistical methods.
Course 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?
Course 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.
Course 6: Excel Statistics Essential Training: 1
-Learn statistics. Dr. Joseph Schmuller uses Microsoft Excel to teach the fundamentals of descriptive and inferential statistics.
Course 7: Predictive Analytics Essential Training: Data Mining
-Get useful, real-world insights into using predictive analysis and data mining to solve problems.
Course 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.
Course 9: Learning Data Visualization
-Communicate complex ideas quickly and thoroughly with data visualization. Turn information into artwork and intrigue your audience.
Course 10: Tableau Essential Training (2021)
-Learn what you need to know to analyze and display data using Tableau 2021. Discover how to leverage the software to make smarter, more data-driven decisions.
Course 11: SQL: Data Reporting and Analysis (2019)
-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.
Course 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.
Course 13: Data Cleaning in Python Essential Training
-Learn how to detect, prevent, and fix errors to keep your data clean.
Course 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.
Course 2: Learning Excel: Data Analysis
-Unlock the power of your organization's data. Learn how to perform data analysis in Microsoft Excel.
Course 3: Data Fluency: Exploring and Describing Data (2019)
-Learn how anyone, in any industry, can speak the language of data analysis. Find out how to prepare data, explore it visually, and describe it using statistical methods.
Course 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?
Course 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.
Course 6: Excel Statistics Essential Training: 1
-Learn statistics. Dr. Joseph Schmuller uses Microsoft Excel to teach the fundamentals of descriptive and inferential statistics.
Course 7: Predictive Analytics Essential Training: Data Mining
-Get useful, real-world insights into using predictive analysis and data mining to solve problems.
Course 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.
Course 9: Learning Data Visualization
-Communicate complex ideas quickly and thoroughly with data visualization. Turn information into artwork and intrigue your audience.
Course 10: Tableau Essential Training (2021)
-Learn what you need to know to analyze and display data using Tableau 2021. Discover how to leverage the software to make smarter, more data-driven decisions.
Course 11: SQL: Data Reporting and Analysis (2019)
-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.
Course 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.
Course 13: Data Cleaning in Python Essential Training
-Learn how to detect, prevent, and fix errors to keep your data clean.
Courses
-
Communicate complex ideas quickly and thoroughly with data visualization. Turn information into artwork and intrigue your audience.
-
Learn the nontechnical skills that effective data scientists must nurture to convert their first job into a successful, lifelong career.
-
Improve the overall analytic workflow of your organization by boosting your data cleaning skills in Python.
-
Learn how anyone, in any industry, can speak the language of data analysis. Find out how to prepare data, explore it visually, and describe it using statistical methods.
-
Learn statistics. Dr. Joseph Schmuller uses Microsoft Excel to teach the fundamentals of descriptive and inferential statistics.
-
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?
-
Learn how to provide quality data sets and accurate visualizations and explore practical skills to get the most from your data.
-
Unlock the power of your organization's data. Learn how to perform data analysis in Microsoft Excel.
-
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.
-
Get useful, real-world insights into using predictive analysis and data mining to solve problems.
-
Learn how to wrangle data and create meaningful visualizations with R, the programming language powering modern data science.
-
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.
-
Learn what you need to know to analyze and display data using Tableau 2021. Discover how to leverage the software to make smarter, more data-driven decisions.
Taught by
Keith McCormick, Curtis Frye, Barton Poulson, Robin Hunt, Joseph Schmuller, Gini von Courter, Bill Shander, Emma Saunders and Miki Tebeka
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