This Data Analyst Master’s Program, co-developed with IBM, will transform you into an expert in data analytics. In this course, you will learn the latest analytics tools and techniques, discover how to work with SQL databases, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.
PURPOSE OF THE COURSE
In this Data Analytics course, you’ll learn analytics tools and techniques, how to work with SQL databases, the languages of R and Python, how to create data visualizations, and how to apply statistics and predictive analytics in a business environment.
WHO SHOULD ATTEND?
A career as a Data Analyst requires a foundation in statistics and mathematics. Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Data Analyst Master’s Program, including:
Banking and finance professionals
Supply chain network managers
Beginners in the data analytics domain
Students in UG/ PG programs
Understand essential statistical concepts including measures of central tendency, dispersion, correlation, and regression
Master SQL concepts such as Universal Query Tool and SQL command
Write your first Python program by implementing concepts of variables, strings, functions, loops, and conditions
Understand the nuances of lists, sets, dictionaries, conditions and branching, objects and classes in Python
Work with data in Python, including reading and writing files, loading, working, and saving data with Pandas
Learn how to interpret data in Python using multi-dimensional arrays in NumPy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and execute machine learning using Scikit-Learn
Perform data analytics using popular Python libraries
Gain insights on several data visualization libraries in Python; including Matplotlib, Seaborn, and Folium
Gain an in-depth understanding of the basics of R, learning how to write your own R scripts
Master R programming and understand how various statements are executed in R
A career as a Data Analyst requires a foundation in statistics and mathematics. Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Data Analyst Master’s Program
This class will be presented as a hands-on ONLINE course spanning a period of six months. In addition to study materials presented in your classroom (text is included as part of your registration) and recorded lectures, you will also have direct interaction with your instructor and other students by way of asynchronous discussions.