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13.1

Advertising on the Telegram channel «Data Science Books»
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This channel is for Programmers, Coders, Software Engineers.
1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning
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18.06.2025
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1. Master the fundamentals of Statistics Understand probability, distributions, and hypothesis testing Differentiate between descriptive vs inferential statistics Learn various sampling techniques 2. Get hands-on with Python & SQL Work with data structures, pandas, numpy, and matplotlib Practice writing optimized SQL queries Master joins, filters, groupings, and window functions 3. Build real-world projects Construct end-to-end data pipelines Develop predictive models with machine learning Create business-focused dashboards 4. Practice case study interviews Learn to break down ambiguous business problems Ask clarifying questions to gather requirements Think aloud and structure your answers logically 5. Mock interviews with feedback Use platforms like Pramp or connect with peers Record and review your answers for improvement Gather feedback on your explanation and presence 6. Revise machine learning concepts Understand supervised vs unsupervised learning Grasp overfitting, underfitting, and bias-variance tradeoff Know how to evaluate models (precision, recall, F1-score, AUC, etc.) 7. Brush up on system design (if applicable) Learn how to design scalable data pipelines Compare real-time vs batch processing Familiarize with tools: Apache Spark, Kafka, Airflow 8. Strengthen storytelling with data Apply the STAR method in behavioral questions Simplify complex technical topics Emphasize business impact and insight-driven decisions 9. Customize your resume and portfolio Tailor your resume for each job role Include links to projects or GitHub profiles Match your skills to job descriptions 10. Stay consistent and track progress Set clear weekly goals Monitor covered topics and completed tasks Reflect regularly and adapt your plan as needed
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11.06.2025
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This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
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Supervised Learning: Classification and Regression
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07.06.2025
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This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
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