Data Analytics is a rapidly growing field where the demand for qualified candidates far outstrips the supply. Our Data Analytics Training Program prepares students to succeed in entry-level Data Analyst positions.
The Data Analytics training starts with learning SQL (Structured Query Language). SQL is used to insert, modify, and extract data from relational databases. Relational Database Management Systems (RDBMS) are used in virtually all industries and organizations to store data about employees, products, services, inventory, financial transactions, etc. The ability to communicate with a relational database is a must for any Data Analyst.
The sequence begins with SQL Fundamentals where students learn about data and databases, with emphasis on RDBMS. Students learn how a RDBMS works, how to make basic queries, use aggregate functions, create and manage tables, and how to use basic joins. This is the very minimum everybody should know about relational databases and SQL.
In a real company setting, RDBMS tend to be large, complex, and messy (they often contain damaged and/or incomplete data). To successfully handle such databases, we provide a follow-up Advanced SQL course. This course teaches students you how to use conditional expressions, work with text including search-and-replace operations, formulate subqueries and advanced joins, and how to use SQL functions.
The course sequence progresses to Predictive Data Analytics with Python which starts by covering a necessary minimum of the Python programming language for applications in Data Science. Then it teaches students how to use Python and its powerful free libraries including Pandas, Numpy, Scipy, Matplotlib, Seaborn, and Statsmodels to read data from files, clean data, present data in visual form, perform qualitative and quantitative analysis of data, interpret data, and make predictions.
Python is the most popular programming language for applications in Data Analysis, Machine Learning, Artificial Intelligence, Business, Finance, Engineering, and many other areas. Our Python Training Program prepares students to succeed in entry-level Python software developer positions.
The Python training has two tiers. Students with no prior programming experience begin with Introduction to Python. This course teaches basic concepts of Python such as loops, conditions, variables, functions and Python lists. This short and sweet course gives students the confidence they need to continue learning Python for practical applications.
For students who already are familiar with basic concepts of computer programming such as loops and conditions, and who are interested in learning Python in depth, we provide a full Python Programming course. This course teaches them how to use Python to solve problems of gradually increasing complexity, ranging from simple calculations, working with text strings, loops, conditions, and variables, to file operations, data visualization, and object-oriented programming.