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Advanced Data science

What learn

  • 1. Basic Probability Concepts 2. Random Variables and Probability Distributions 3. Expectation, Variance, and Moments
  • Introduction to Normal Distribution ,Characteristics such as mean, variance, and standard deviation, Standard normal dis...
  • Introduction to Sampling . Understanding the importance of sampling in data analysis. Systematic Sampling . Sampling Tec...
  • Introduction to Hypothesis Testing. Hypothesis Formulation. Types of Hypothesis Tests. Hypothesis Testing Procedure . Po...
  • Introduction to Correlation: Introduction to Correlation: Introduction to Correlation. Pearson Correlation Coeffi...
  • Introduction to Linear Regression: Understanding the concept of regression analysis and its applications in data scie...
  • Introduction to Logistic Regression. Binary Logistic Regression.Multinomial Logistic Regression . Logistic Regression As...


  • Clarity of Purpose , Target Audience , Content Structure , Learning Objectives , Depth and Complexity , Engagement and Interactivity , Visual Aids and Illustrations


Calling all data aficionados! This Advanced Data Science course is your launchpad to the next level. We'll propel you beyond the fundamentals, equipping you with the expertise to tackle intricate data conundrums faced by professional data scientists.

Embark on a transformative journey where you'll:

  • Delve into the intricacies of cutting-edge algorithms:Master the art of deep learning, enabling you to extract profound insights from complex data, and delve into natural language processing, empowering you to unlock the secrets hidden within human language.
  • Conquer the vast frontier of Big Data:Explore the power of Big Data frameworks like Apache Spark, adept at handling and processing massive datasets efficiently. Gain proficiency in distributed computing, enabling you to harness the combined power of multiple machines to tackle monumental data challenges.
  • Refine your data visualization prowess:Elevate your data visualization skills beyond the ordinary, crafting compelling narratives that effectively communicate insights to both technical and non-technical audiences. Learn to present your findings with clarity and impact, ensuring your message resonates with stakeholders.
  • Bridge the gap between theory and practice:Prepare yourself for the real world by applying your newly acquired knowledge to practical data science projects. You'll gain hands-on experience tackling realistic data challenges, solidifying your understanding and propelling you towards a thriving career in data science.

Are you ready to unlock the full potential of data and propel yourself to the forefront of the data science revolution? Join us on this enriching journey and become an indispensable data science champion!

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