Course Overview
- Course Title: Marketing Analyst: Learn Sales Forecasting & Market Analysis
- Instructor: Tamer Ahmed
- Target Audience:
- Aspiring data analysts
- Marketers
- Professionals enhancing Python skills in marketing
- Prerequisites:
- Basic understanding of marketing concepts
- Familiarity with Python programming (e.g., variables, loops)
- Access to a computer with Python installed
Curriculum Highlights
- Key Topics Covered:
- Analyze Market Trends with Python
- Develop Sales Forecasting Models
- Leverage Data for Market Insights
- Apply Statistical Methods to Market Analysis
- Collect, process, and analyze marketing data and YouTube insights using Python
- Build and evaluate predictive models to forecast sales, detect churn, and segment customers
- Visualize complex metrics and create maps for geographical insights
- Perform sentiment analysis, network analysis, and AB testing for data-driven marketing decisions
- Key Skills Learned:
- Identify and analyze key market trends and consumer behaviors using Python tools
- Build predictive models to forecast sales and understand their impact on marketing strategies
- Extract, manipulate, and visualize data to generate valuable market insights and recommendations
- Utilize statistical techniques to assess market potential and optimize marketing efforts
- Make data-driven decisions in marketing
Course Format
- Duration: 9.5 hours on-demand video
- Format: Self-paced online course
- Resources:
- 6 articles
- 5 downloadable resources
- Access on mobile and TV
- Certificate of completion