Data Science for Marketing Analytics

🌟 Data Science for Marketing Analytics: Master Python for Actionable Marketing Insights 📊

Unlock the Power of Data to Drive Marketing Success!

Embark on a transformative journey with our comprehensive course, designed to empower you with the analytical prowess needed to harness the vast potential of data in marketing. 🚀

Course Highlights:

• Python Mastery: Dive deep into Python libraries such as pandas and Matplotlib to handle and visualize data effortlessly.

• Data Manipulation & Visualization: Learn to manipulate datasets, create captivating plots with categorical and continuous variables, and turn numbers into compelling narratives.

• Customer Segmentation: Discover how to segment your audience accurately using clustering techniques, and choose the best segmentation method to drive your marketing strategies.

• Predictive Modeling: Develop a linear regression model to forecast lifetime customer value, and understand the nuances of regression analysis for making informed decisions.

• Churn & Classification Models: Predict customer behavior and churn with sophisticated classification algorithms, and model customer product choices effectively.

• Interactive Dashboards: By course's end, you will be adept at creating your own reporting and interactive dashboard solutions to visualize data insights intuitively.

What You Will Learn:

🔹 Data Handling with Python: Read and manipulate data, mastering libraries that are essential for any marketing analyst.

🔹 Marketing Analytics: Segment your audience, analyze their behavior, and predict future trends to stay ahead of the curve.

🔹 Advanced Predictive Models: Create models to forecast customer lifetime value, churn rates, and product choices with accuracy.

🔹 Data Visualization Techniques: Use Matplotlib and other libraries to create powerful visualizations that will communicate your findings clearly and effectively.

Your Instructors - Industry Experts:

• Tommy Blanchard, Ph.D. - Leads the data science team at Fresenius Medical Care North America with a background from the University of Rochester and Harvard.

• Debasish Behera - A seasoned Data Scientist working for a large Japanese corporate bank, specializing in machine learning/AI with a Master’s in Business Analytics from Singapore Management University.

• Pranshu Bhatnagar - An experienced Data Scientist in telematics, insurance, and mobile software space, with expertise in algorithms, time series analysis, and a passion for Python and machine learning.

• Candas Bilgin - A Microsoft Certified Data Scientist and a Certified Tableau Developer, with experience in the hospital & healthcare industry, focusing on data science and predictive analytics.

Join us to transform raw data into strategic marketing insights and make data-driven decisions that will propel your marketing initiatives to new heights. Enroll now and become a data science maestro in marketing analytics! 📈🔥

Sign Up Now to start your journey with Data Science for Marketing Analytics today!