Analytical Methods for Effective Data Analysis

Course Overview

Unlock the power of data with our "Analytical Methods for Effective Data Analysis" course. This course dissects analytics into four key components: marketing analytics, social media analytics, predictive analytics, and prescriptive analytics.

Starting with a focus on the customer-centric world of marketing analytics, you'll explore customer life cycles and various models, from segmentation to customer churn. Learn to retain and engage customers effectively.

Next, you'll delve into measuring, collecting, and analyzing data from social platforms. Understand sentiment analysis, an essential tool for gauging public opinions and emotions expressed in textual content.

The final section centers on predictive and prescriptive analytics, guiding you through predicting future events and optimizing key metrics. You'll grasp revenue management, revenue optimization models, and dynamic pricing.

Upon completion, you should have gained the skills needed to excel in data analytics. Whether you're a marketing pro, business analyst, or simply passionate about data, this course equips you with tools and insights for informed decision-making.

Learning Objectives:

After completing this course, you should be able to:

• Analyze customer behavior using marketing models, including segmentation, acquisition, RFM, and churn models.
• Apply social media analytics to measure and track public opinions and brand mentions.
• Implement sentiment analysis techniques to classify and quantify emotions in textual content.
• Utilize predictive analytics, including statistics and machine learning, to make future event predictions.
• Employ prescriptive analytics to optimize key metrics by understanding past performance and trends.
• Develop strategies for revenue management and optimization, including dynamic pricing.