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Comprehensive Python programming tutorial covering basics to advanced concepts with hands-on practice, suitable for beginners seeking a solid foundation in the language.
Learn Tableau for powerful data visualization: from basics to advanced techniques, including dashboards, graphs, and real-world dataset analysis.
पायथन प्रोग्रामिंग की मूल अवधारणाओं और उन्नत विषयों को सीखें। पैटर्न, संख्या सिद्धांत, और सॉर्टिंग एल्गोरिदम पर व्यावहारिक अभ्यास करें।
Comprehensive advanced Python programming series covering theoretical concepts and hands-on practice, suitable for beginners and those looking to enhance their Python skills.
Master SQL essentials for data science: commands, queries, functions, and database management. Gain practical skills for data manipulation, analysis, and insights extraction.
Comprehensive guide to Selenium automation with Python, covering IDE, WebDriver, Grid, and RC. Learn testing techniques and compare tools for effective web automation.
Explore diverse Python projects, from animated cards to practical tools, suitable for beginners and CV enhancement. Learn through hands-on coding in Hindi.
Comprehensive Python interview preparation with detailed explanations and practice questions, covering trending topics to enhance your coding skills and interview readiness.
Master essential data science libraries: array operations, data manipulation, cleaning, and analysis techniques for efficient data handling and processing.
Comprehensive introduction to pytest in Python, covering theory and hands-on practice. Learn features, advantages, test types, execution methods, and markers for effective unit testing.
Comprehensive introduction to probability concepts for data science, covering fundamental principles, distributions, hypothesis testing, and practical applications in statistical analysis.
Explore data visualization techniques using Plotly library for tips dataset analysis. Learn to create various chart types and gain insights through hands-on exploratory data analysis.
Comprehensive video series on advanced Python, covering object-oriented programming concepts, multithreading, and file operations through practical examples and clear explanations.
Learn data analysis techniques using Seaborn and Matplotlib, exploring various datasets and creating informative visualizations to gain insights from real-world data.
Learn Python's Pandas library through hands-on tutorials. Covers data manipulation, analysis, and visualization techniques using real datasets. Ideal for beginners and intermediate users.
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