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LinkedIn Learning

Moving from Data Scientist to Data Analyst

via LinkedIn Learning Path

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Overview

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Data scientists transitioning to a new career focus as data analysts will find this learning path invaluable in transitioning their skills. You'll take existing skills in coding languages like Python, SQL, and R, and learn how to use them in an analytics context. You'll also develop power skills in core analytics apps like Tableau and Excel, and you'll gain a strong grounding in data visualization skills.
  • Explore how SQL, R, and Python skills port to analytics.
  • Discover the power of Tableau for data viz and analytics.
  • Build skills in predictive analtics, data mining, and NLP.
  • Refine your statistics skills using pandas, R, and Python.

Syllabus

Courses under this program:
Course 1: SQL for Data Analysis
-Learn fundamental SQL data analysis techniques especially useful for developers. Explore querying relational database values, filtering results, leveraging functions, and more.

Course 2: R for Data Science: Analysis and Visualization
-Learn the basics of R, the free, open-source language for data science. Discover how to use R and RStudio for beginner-level data modeling, visualization, and statistical analysis.

Course 3: Python for Data Analysis: Solve Real-World Challenges
-Get a practical, project-based look at using Python for data analysis.

Course 4: Data Science Foundations: Data Mining in Python
-Learn the key concepts and skills behind one of the most important elements of data science: data mining.

Course 5: Data Visualization for Data Analysts and Analytics
-Start thinking more clearly and strategically about data visualization. Learn how to leverage best practices in visualization and design to communicate data to any audience.

Course 6: Python Statistics Essential Training
-Learn to use Python to unlock the power of data and use it to inform decisions.

Course 7: Deep Learning: Getting Started
-Learn the basics of deep learning and get up and running with this technology.

Course 8: Apache Spark Essential Training: Big Data Engineering
-This course focuses on building full-fledged solutions that combine Apache Spark with other Big Data tools to create end-to-end data pipelines.

Course 9: Python: Working with Predictive Analytics (2019)
-Find out how to use prebuilt Python libraries for predictive analytics and discover insights about the future.

Course 10: Complete Guide to NLP with R
-Find out how to use the R programming language to implement natural language processing (NLP) algorithms.

Course 11: Advanced Tableau Desktop
-Build expert-level Tableau skills by mastering relationships, advanced calculations, predictive analytics, and dynamic design.

Courses

Taught by

Nikiya Simpson, Barton Poulson, PhD, Sarah Om, Bill Shander, Matt Harrison, Kumaran Ponnambalam, Dr. Isil Berkun, Mark Niemann-Ross and George Lynch

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