Moving from Data Scientist to Data Analyst

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.