I'm humbled and excited to share a significant milestone on my professional journey—I've become a Udemy instructor, and I'm thrilled to introduce my very first course: "Practical Business Analysis with Excel" 🚀
This hands-on course dives deep into Excel's capabilities, helping professionals across diverse departments harness data for insights that lead to smarter decisions. 📊🔍
The first two chapters present the Modern Excel technologies (Power Query & Power Pivot), while the subsequent chapters skilfully address tangible business challenges:
1. Power Query: Unleash Data Transformation - Master the art of data transformation, enabling you to clean, reshape, and prepare data effortlessly.
2. Power Pivot: Dynamic Data Modelling - Dive into the world of dynamic data modelling using Power Pivot, giving you the ability to analyse and visualize complex datasets seamlessly.
3. Data Visualization Best Practices: Insightful Display - Learn the art of crafting compelling visualizations that communicate insights effectively, enhancing your data storytelling skills.
4. RFM Analysis: Unlock Customer Insights - Uncover the secrets of Recency, Frequency, and Monetary analysis to gain deep insights into customer behaviour and preferences.
5. Linear Regression with Excel: Informed Predictions - Explore six methods of Linear Regression to predict outcomes accurately, empowering you to make data-driven forecasts.
6. Monthly Sales Forecasting with Dummy Variables: Trends & Seasonality - Equip yourself with the skills to forecast monthly sales using Excel's advanced techniques, identifying trends and seasonality patterns.
7. K-Means Clustering: Data Segmentation - Uncover the power of K-Means Clustering to segment data into meaningful groups, enabling targeted strategies and decision-making.
8. Customer Churn Analysis: Retain & Optimize - Learn how to identify and analyse customer churn patterns, enabling you to devise strategies for customer retention and growth.
9. Market Basket Analysis: Uncover Buying Patterns - Discover the art of identifying associations between products in transactions, enhancing your ability to optimize cross-selling strategies.
10. Logistic Regression: Predictive Insights - Harness Logistic Regression to predict customer behaviours like purchases, enabling informed decisions and strategic planning.
Together, we'll decode data complexities, predict trends, and elevate decision-making.💡
👉 Enrol now: press the link in the 1st comment a promotional price!
Data Analytics Central
📢 Launching My First Udemy Course📢
I'm humbled and excited to share a significant milestone on my professional journey—I've become a Udemy instructor, and I'm thrilled to introduce my very first course: "Practical Business Analysis with Excel" 🚀
This hands-on course dives deep into Excel's capabilities, helping professionals across diverse departments harness data for insights that lead to smarter decisions. 📊🔍
The first two chapters present the Modern Excel technologies (Power Query & Power Pivot), while the subsequent chapters skilfully address tangible business challenges:
1. Power Query: Unleash Data Transformation - Master the art of data transformation, enabling you to clean, reshape, and prepare data effortlessly.
2. Power Pivot: Dynamic Data Modelling - Dive into the world of dynamic data modelling using Power Pivot, giving you the ability to analyse and visualize complex datasets seamlessly.
3. Data Visualization Best Practices: Insightful Display - Learn the art of crafting compelling visualizations that communicate insights effectively, enhancing your data storytelling skills.
4. RFM Analysis: Unlock Customer Insights - Uncover the secrets of Recency, Frequency, and Monetary analysis to gain deep insights into customer behaviour and preferences.
5. Linear Regression with Excel: Informed Predictions - Explore six methods of Linear Regression to predict outcomes accurately, empowering you to make data-driven forecasts.
6. Monthly Sales Forecasting with Dummy Variables: Trends & Seasonality - Equip yourself with the skills to forecast monthly sales using Excel's advanced techniques, identifying trends and seasonality patterns.
7. K-Means Clustering: Data Segmentation - Uncover the power of K-Means Clustering to segment data into meaningful groups, enabling targeted strategies and decision-making.
8. Customer Churn Analysis: Retain & Optimize - Learn how to identify and analyse customer churn patterns, enabling you to devise strategies for customer retention and growth.
9. Market Basket Analysis: Uncover Buying Patterns - Discover the art of identifying associations between products in transactions, enhancing your ability to optimize cross-selling strategies.
10. Logistic Regression: Predictive Insights - Harness Logistic Regression to predict customer behaviours like purchases, enabling informed decisions and strategic planning.
Together, we'll decode data complexities, predict trends, and elevate decision-making.💡
👉 Enrol now: press the link in the 1st comment a promotional price!
2 years ago (edited) | [YT] | 0