Moving from Data Scientist to Data Analyst

Overview

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 Analysis and Analytics (2020)
-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
-Learn how to make Apache Spark work with other Big Data technologies and put together an end-to-end project that can solve a real-world business problem.

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

Course 10: Introduction to NLP Using R
-Get up and running with natural language processing (NLP) using R, the popular programming language for statistical computing and graphics.

Course 11: Tableau Beyond the Basics: Growing Your Analytics and Business Intelligence Toolkit
-Learn to create dynamic visualizations that unlock the power of Tableau to clearly communicate complex analytical insights and begin the journey to becoming a Tableau expert.

Courses

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1 hour 40 minutes
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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.
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1 hour 2 minutes
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Learn how to make Apache Spark work with other Big Data technologies and put together an end-to-end project that can solve a real-world business problem.
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1 hour 17 minutes
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Find out how to use prebuilt Python libraries for predictive analytics and discover insights about the future.
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3 hours 3 minutes
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Learn the key concepts and skills behind one of the most important elements of data science: data mining.
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2 hours 47 minutes
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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.
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2 hours 39 minutes
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Learn to use Python to unlock the power of data and use it to inform decisions.
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1 hour 11 minutes
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Learn fundamental SQL data analysis techniques especially useful for developers. Explore querying relational database values, filtering results, leveraging functions, and more.
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1 hour 14 minutes
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Learn the basics of deep learning and get up and running with this technology.
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2 hours 4 minutes
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Get a practical, project-based look at using Python for data analysis.
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2 hours 32 minutes
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Get up and running with natural language processing (NLP) using R, the popular programming language for statistical computing and graphics.
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2 hours 22 minutes
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Learn to create dynamic visualizations that unlock the power of Tableau to clearly communicate complex analytical insights and begin the journey to becoming a Tableau expert.