Applied Analytics Training
All organizations, big or small, have embraced Big Data Analytics. Moreover, data analytics is now required in every industry, all over the world due to its ability to provide insights for better business decisions and higher customer retention and maximizing revenue. The demand for data scientists is high, and you as an aspiring data science professional can enter the world of data science a number of ways, with our Applied Analytics Training.
Ambeone’s Data Science Course for Applied Analytics
Our advanced applied analytics training course focuses on techniques along with the Big Data deluge. In this course, you will learn how to mine abstract data into analyzed data. This will help to reflect trends, patterns and explore new insights and dynamically provide innovative, faster and personalized services to all customers, in every industry.
Our training assist you to specialize in your business domains by giving suitable case studies and assignments on:
[ultimate_info_table design_style=”design06″ color_scheme=”blue” package_heading=”Marketing Analytics”]Apply analytical techniques to various retail and marketing problems; including determining customer value and using the concept to aid in business decision making by allocating marketing expenditures between customer acquisition and customer retentions.[/ultimate_info_table]
[ultimate_info_table design_style=”design06″ color_scheme=”green” package_heading=”Management Accounting Analytics” features_min_ht=”21″]Applying analytics in Management Accountancy which assist in Staff and Cost Accountancy, Internal Auditing, Budget Analysis and Forecasting.
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[ultimate_info_table design_style=”design06″ color_scheme=”green” package_heading=”Financial Analytics”]Application of Analytics in Finance – Financial Ratios, Valuations; and develop models to solve financial problems.
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[ultimate_info_table design_style=”design06″ color_scheme=”red” package_heading=”Risk Assessment Analytics”]Improved predictive power and stability of risk models using real time risk intelligence, improving monitoring of risk and reducing noise-to-signal ratios. Strengthen evidence based decision-making capacities across a number of key domains and enjoy significant cost savings in risk management.[/ultimate_info_table]
[ultimate_info_table design_style=”design06″ color_scheme=”blue” package_heading=”Supply Chain Analytics”]Application of Analytics in Supply Chain Management – Vertical Integration, Demand forecast &planning; Develop inventory models under uncertainty including service level and reorder point models.[/ultimate_info_table]
[ultimate_info_table design_style=”design06″ color_scheme=”yellow” package_heading=”HR Analytics”]Application of Analytics in Human Resource – Recruitment & Performance Measurement.[/ultimate_info_table]
[ultimate_info_table design_style=”design06″ color_scheme=”yellow” package_heading=”Healthcare Analytics”]Measure Hospitals Operational KPIs for various healthcare problems.[/ultimate_info_table]
[ultimate_info_table design_style=”design06″ color_scheme=”red” package_heading=”Operational Analytics”]Lean & Six Sigma, Linear Programming; Deploy analytics, such as aggregate planning models introduction planning and scheduling.[/ultimate_info_table]
Articles from our Data Science Experts