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LinkedIn Learning

Become a Data Analyst

via LinkedIn Learning

Overview

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

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: Complete Guide to Excel Statistics with Copilot
-Get a comprehensive overview of how to master statistics in Excel using the power of Microsoft Copilot.

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 (2024)
-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. Entice and inform your audience with effective, and maybe creative, design.

Course 10: Tableau 2024.1: Essential Training
-Learn what you need to know to analyze and display data using Tableau 2024. Discover how to leverage the software to make smarter, more data-driven decisions.

Course 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.

Course 12: Complete Guide to R: Wrangling, Visualizing, and Modeling Data
-Taking your R coding skills to the next level by wrangling, visualizing, and modeling data.

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

Taught by

Keith McCormick, Curtis Frye, Barton Poulson, Robin Hunt, Robin Hunt, Joseph Schmuller, Keith McCormick, Gini von Courter, Bill Shander, Curtis Frye, Emma Saunders, Barton Poulson and Miki Tebeka

Reviews

5.0 rating, based on 4 Class Central reviews

Start your review of Become a Data Analyst

  • Profile image for Babinton .J
    Babinton .J
    11
    This Training in data analytics will definitely help a fresher get an immense knowledge of how to become a data analyst.

  • Anuraj B N
    2
    Linkdine's Data Analyst Certificate has surpassed my expectations, providing me with the skills and knowledge necessary to excel in data analysis. The program's comprehensive curriculum covers a wide range of topics, from fundamental concepts to adv…
  • Anonymous
    Currently I am learning in linkedin learning and especially this course is best because it has good interaction and live demonstration that how to use power BI, Tableau, SQL, python. I love this course
  • Frizzyzoeee@gmail.com
    Wonderful course I was so happy to take it
    amazing reading and teaching skills
    really well done
    hope for more in the near future
    I enjoyed it

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