Moving from Data Analyst to Data Scientist

Courses under this program:
Course 1: Intermediate SQL for Data Scientists
-Dive into one of the most important data science tools: SQL. Learn how to use joins and subqueries, statistical functions, window functions, and much more.

Course 2: Data Wrangling in R
-Learn about the principles of tidy data and discover how to import, transform, clean, and wrangle data using the R programming language.

Course 3: Python Functions for Data Science
-Save time, and make your code more readable and reusable, by learning the most powerful Python functions for data science.

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: Basics of Data Visualization Analysis
-Learn the fundamentals of data visualization, including how to use common charts and graphs across a variety of different types of datasets.

Course 6: Statistics Foundations 1: The Basics
-Learn to understand your data using basics of statistics, such as defining the middle, mean, and median of your data set; measuring the standard deviation; and finding outliers.

Course 7: Statistics Foundations 2: Probability
-Learn to understand your data in beginner-friendly lessons, using probability. Topics include permutations, percentiles, how to use probability trees, and much more.

Course 8: Statistics Foundations 3: Using Data Sets
-Go beyond the basics of statistics with practical, example-based lessons to learn how data sets and statistics are used in the real world.

Course 9: Statistics Foundations 4: Advanced Topics
-Complete your mastery of statistics with this advanced concepts course on t-distribution, degrees of freedom, regression testing, and ANOVA.

Course 10: Tableau for Data Scientists
-Take your Tableau skills to the next level. Learn how to format and filter messy data, use Tableau for data analysis, and visualize data with maps and dashboards.

Course 11: Power BI Data Modeling with DAX
-Take your data modeling skills to the next level. Learn how to leverage Data Analysis Expressions (DAX) to create formulas for Power BI that extend your data model.

Course 12: Actionable Insights and Business Data in Practice
-Learn how to start interpreting data-based findings and making high-value, data-driven suggestions to solve problems for stakeholders.

Course 13: ETL in Python and SQL
-Gain the knowledge you need to build data pipelines in a data-driven world.

Course 14: Introduction to Machine Learning with KNIME
-Learn KNIME, a popular open-source platform for predictive analytics and machine learning. Discover how to use KNIME for merging and aggregation, modeling, data scoring, and more.

Course 15: Hands-On Data Science using SQL, Tableau, Python, and Spark
-Get practical, hands-on data science experience using SQL, Tableau, Python, and Spark.