IBM - Data Analyst 

IT professionals
Banking and finance professionals
Marketing managers
Supply chain network managers
Beginners in the data
engineering domain

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, includingreading 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

• This Data Analytics course in collaboration with IBM makes you a Data Analytics expert
• This Data Analyst course helps to learn analytics tools and techniques, how to work with SQL databases, R and Python, how to create data visualizations, and apply statistics and predictive analytics in a business environment