Data Analysis is the process of analyzing raw data in order to make conclusion about that information.

Types of Analysis:

1. Descriptive – Explaining what happened,
2. Diagnostic – Explaining why it happened,
3. Predictive – Forecasting what might happen,
4. Prescriptive – Recommending an action based on the forecast.

Benefits of Data Analysis:

1. Support business decision making,
2. Mitigate risk and handle setbacks,
3. Increase efficiency,
4. Understanding and streamlining operations,
5. Aid innovation and improve products and services quality,
6. Personalize customer experience.

Data Analysis course address methods for managing and analyzing large datasets.

In this course, you will learn:

1. The goal that drives the need for data,
2. Type of data analytics to use,
3. Planning for data collection,
4. Data collection,
5. Data cleaning,
6. Data evaluation,
7. Data visualization.

Who should attend:

1. Experienced individuals who manage business analysis activities in diverse fields,
2. Working professionals seeking to change career, job or industry to business or data analysis related field,
3. Mid to Senior Level Executives in any Sector.

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