Learn data and analytics use-cases for functional areas such as Marketing, Finance, Human Resources, and Operations Management.
Learn how to execute analytics using tools such as SQL, Python, Knime, and Excel.
The analytics training landscape today is inundated with hyped up courses and overly theoretical offerings. Our training focuses on real-life use-cases, tools and methodologies used by practitioners in the field.
Start using real analytics used by practitioners today.
These courses are designed from a business perspective towards achieving practical outcomes for functional teams.
Learn analytical techniques on how to maximize your customer data using transactional and online behavioral footprints of your customers such as POS data, loyalty data, web and social media data. By the end of this Specialization, you’ll be able to come up with strategies to address your sales and marketing challenges using a data-driven approach.
Learn how to use data to assess what drives financial performance, to forecast future financial scenarios and how it can provide insight into other business areas. By the end of this Specialization, you will understand how financial data and non-financial data interact to forecast events, optimize operations and determine business strategy.
Learn how to use data to profitably match supply with demand in various business settings, how to model future demand uncertainties, how to predict operational outcomes and how to choose the best course of action in the face of risk. By the end of this Specialization, you will be able to rely on data analytics to provide insight for making operational decisions primarily to improve service delivery to customers and become more efficient and effective in resource allocation.
Learn techniques using data and sophisticated analysis on people-related issues. By the end of this Specialization, you will be able to demonstrate the use of hard data to make decisions about hiring and talent development, so that you can position yourself as a strategic partner in your company’s talent management decisions.
These courses are designed for technical users who are part of or servicing business teams with analytics requirements.
SQL is the defacto language of all database platforms used to extract, aggregate, transform, and analyze data. Learn how to combine disparate data in order to develop a holistic view of business processes, and help you gain in-depth knowledge on a variety of business use-cases.
Python is a high-level programming language that is now the standard tool in machine learning. Go beyond spreadsheets and high-level dashboards and develop the foundation you need in order to build algorithms and frameworks to improve you business analytics capabilities.
Excel is still the default entry point for most data analysis and the fastest way to explore and visualize data. Learn advanced spreadsheet functions, analytics toolkit, data preparation, and optimization.
Knime is one of the leading specialized analytics and data transformation utilities. Learn to build analytics workflows, ETL, and automate repetitive processes.
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