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Program Details
The Business Cases with Python course is designed to equip participants with the skills to solve real-world business challenges using Python. Throughout the program, students will work on hands-on projects focused on key business areas such as finance, marketing, sales, and operations. By the end of the course, participants will have the ability to analyze complex datasets, automate processes, and develop data-driven strategies for various business scenarios.
This program is ideal for professionals looking to leverage Python to optimize business performance and decision-making.
Dates
A new class is opened every month for this training program.
Duration
This training program consists of 4 weeks of intensive study.
Way to Learn
Lessons are held completely online and live via Google Meet or Zoom.
Method
This consists of 12 courses in total, including theoretical, practical sessions.
Up to 12 Members
Each class is limited to 12 members, ensuring personalized attention and an interactive learning experience.
+30 Projects
Gain hands-on experience with over 30 real-world projects, designed to solidify your data analysis skills.
+30 In Class Works
Participate in more than 30 in-class activities, enhancing your practical understanding through collaborative exercises.
1-1 Support
Receive dedicated 1-on-1 support from experienced mentors, tailored to address your specific learning needs.
Customer Segmentations
Learn how to segment customers using various methods such as demographic, behavioral, and RFM analysis. Develop strategies to create personalized marketing efforts for different customer groups and improve overall business targeting.
Digital Marketing Analysis
Analyze the performance of digital marketing campaigns by evaluating metrics such as conversion rates, click-through rates, and engagement across various channels. Use Python to compare the effectiveness of different marketing strategies and optimize future campaigns.
Social Media Marketing Analysis
Explore the impact of social media on customer engagement. Learn to analyze user interactions, measure engagement rates, and identify content that drives higher traffic and conversions on platforms like Instagram, Twitter, and Facebook.
Customer Lifetime Value (CLTV) Analysis
Understand how to calculate the lifetime value of customers using Python. This session focuses on predicting the long-term revenue a customer will generate and how businesses can create targeted retention strategies to maximize CLTV.
NPS and Customer Feedback Analysis
Dive into Net Promoter Score (NPS) analysis and customer feedback data. Learn how to interpret customer satisfaction levels, identify areas for improvement, and use sentiment analysis to turn feedback into actionable insights for business growth.
Sales Analysis
Use Python to analyze sales data, evaluate sales team performance, identify trends, and forecast future sales. This session focuses on improving sales strategies, optimizing product offerings, and understanding revenue drivers.
Topics Covered
Understanding and Applying Customer Segmentation Techniques
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Behavioral Segmentation: Analyzing purchase history, loyalty, and engagement to group customers based on their behaviors.
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Demographic Segmentation: Using customer data like age, income, and education to create meaningful customer segments.
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Psychographic Segmentation: Evaluating lifestyle, values, and personality traits to understand deeper customer motivations.
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RFM Analysis: Learn Recency, Frequency, and Monetary (RFM) scoring to rank customers based on transaction behavior.
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K-Means Clustering: Applying machine learning algorithms to identify customer groups with similar characteristics.
Program
Sosyal medya, günümüzde bireyler ve işletmeler için önemli bir iletişim ve pazarlama aracı haline gelmiştir. Bu projede, bir sosyal medya pl
Sosyal Medya Etkileşim Analizi
E-ticaret sektörü, günümüzde hızla büyüyen ve gelişen bir alan olarak öne çıkmaktadır. Bu projede, bir e-ticaret şirketinin satış verilerini
E-Ticaret Satış Analizi
Coffee Machine (Kahve Makinesi), kullanıcıların belirli bir tür kahve seçip, seçilen kahve türüne göre gerekli malzemeleri ve maliyeti hesap
Coffee Machine Programı
Caesar Cipher (Sezar Şifreleme), antik Roma İmparatoru Julius Caesar tarafından kullanılan basit bir şifreleme yöntemidir. Bu yöntem, her ha
Caesar Cipher
Currency Calculator Nedir? Currency Calculator (Döviz Hesaplayıcı), kullanıcıların bir para birimini diğerine dönüştürmelerini sağlayan...
Currency Calculator
Advanced Calculator (Gelişmiş Hesap Makinesi), kullanıcılara çeşitli matematiksel işlemleri gerçekleştirme imkanı veren bir uygulamadır. Tem
Advanced Calculator
Secret Auction (Gizli Müzayede), bir grup katılımcının gizli tekliflerde bulunduğu bir açık artırma oyunudur. Katılımcılar tekliflerini suna
Secret Auction
Quiz App, kullanıcılara bir dizi soru sorarak bilgi düzeylerini test eden bir uygulamadır. Kullanıcı, her soruya cevap verdikten sonra doğru
Quiz Application
Number Guessing Game (Sayı Tahmin Oyunu), bir oyuncunun belirli bir aralıkta rastgele seçilen bir sayıyı tahmin etmeye çalıştığı basit bir o
Number Guessing Game
Tic-Tac-Toe, iki oyuncu arasında oynanan basit bir masa oyunudur. Oyuncular sırayla 3x3'lük bir tahtaya "X" veya "O" yerleştirirler. Amaç, y
Tic-Tac-Toe Oyunu
Rock-Paper-Scissors (Taş-Kağıt-Makas), iki oyuncu arasında oynanan basit bir el oyunudur. Oyuncular aynı anda üç şekilden birini seçer: taş,
Rock-Paper-Scissors Oyunu
Hangman, kelime tahminine dayalı bir oyundur. Oyuncu, gizli bir kelimenin harflerini tahmin etmeye çalışır. Yanlış tahminler yapıldıkça, bir
Hangman Oyunu
Projects
Contact Us for More Details
If you have any questions or would like more information about the Python for Data Analysis training program, feel free to reach out to us. We’re happy to assist you with any inquiries, registration details, or clarifications about the course content and structure.