Kumpulan thread terkait #DataScience untuk menambah wawasan dan pengetahuanmu!💡 #RStats

Learn directly from industry experts, connect with fellow Data Science professionals and enthusiasts, and stay ahead in the ever-evolving field of Data Science. Don't miss the chance to enhance your skills and gain practical insights. Register now https://t.co/hxZw4TqbZf !

Algoritma is thrilled to kick off 2025 with an exciting Data Science Series Workshop this January! 🎉 Get ready to dive into Big Data Analysis and Machine Learning using PySpark, designed to sharpen your technical skills and broaden your expertise.

Want to bring impactful training like this to your university or organization? Visit:

This training equips UNJ students to thrive in a world driven by data. It’s the first step toward becoming industry-ready professionals who excel in analytics and decision-making.

4. Career Readiness: Proficiency in tools like Power BI and Excel enhances competitiveness in data-centric roles.

2. Enhanced Communication: Mastering data storytelling for effective presentations. 3. Research Innovation: Leveraging data skills for exploring complex datasets and contributing to innovative research.

Real-World Applications for UNJ Students The skills gained from this program offer significant value both academically and professionally: 1. Academic Excellence: Strengthening coursework, research, and statistical analyses.

What UNJ Students Learned: - Data Preparation: Cleaning, organizing, and preprocessing raw datasets. - Visualization: Creating interactive dashboards and insights with Excel and Power BI. - Data-Driven Decisions: Using data insights for strategic conclusions.

30 Statistics students from Universitas Negeri Jakarta (UNJ) recently participated in the "Data Analytics Starter Packs" training by Algoritma. This hands-on workshop taught them foundational data analytics skills to tackle real-world challenges. A THREADS

Segmenting customers with K-Means enables personalized marketing, boosting engagement and sales. Master customer segmentation with our K-Means Clustering training at Algoritma Data Science School. Sign up now:

Targeted Marketing Strategies - High-Spender, Low-Frequency: Retention via loyalty programs. - Moderate-Spender, High-Frequency: Upsell with bundles and recommendations. - Low-Spender, Low-Frequency: Re-engage with discounts and promotions.

4. Apply K-Means Group customers by similarity, assigning each to the nearest cluster center. 5. Analyze Results - Label clusters in your dataset. - Identify patterns and unique traits using visualizations like scatter plots.

3. Find Optimal Clusters Use the Elbow Method: - Plot clusters (K) vs. SSE. - Find the "elbow point" where the curve flattens for actionable groupings.

2. Clean & Normalize Data - Handle missing values to avoid bias. - Normalize features (e.g., income, purchases) for balanced clustering.

1. Prepare Your Data Collect key customer data: - Demographics: Age, income, location - Behavior: Purchases, spending, products - Preferences: Shopping habits, product choices

Marketing struggles with diverse customer needs. Customer Segmentation addresses this by: - Grouping similar customers. - Enabling targeted, relevant campaigns. Discover how K-Means Clustering can enhance segmentation! A THREAD!

We, the Algoritma Team, have a special message for you... Want to know what it is? Solve the code to find out! Share your answer in the comments and don’t forget to tag your friends to take on the challenge too. Let’s see who can crack it first!

Transform Your Organization with Data Analytics Unlock the potential of data analytics and machine learning to revolutionize your business with Algoritma. Visit:

Machine Learning Innovations - Fraud Prevention: Real-time detection minimizes risks and enhances security. - Credit Assessment: Predictive models improve accuracy in loan approvals and reduce defaults.

Revolutionizing Banking with Data Analytics & Machine Learning Here’s how BRI is shaping the future of banking: - Personalized Services: Tailored financial solutions through customer data analysis. - Real-Time Insights: Interactive dashboards for smarter executive decisions.