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Articles Home » Data Science » Udemy The Data Science Course 2018: Complete Data Science Bootcamp Part2 - Statistics

Udemy The Data Science Course 2018: Complete Data Science Bootcamp Part2 - Statistics

Udemy The Data Science Course 2018: Complete Data Science Bootcamp Part2

with Iliya


02.6.1 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx


The Data Science Course 2019: Complete Data Science Bootcamp
Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning

What you'll learn::
  • The course provides the entire toolbox you need to become a data scientist
  • Impress interviewers by showing an understanding of the data science field
  • Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
  • Perform linear and logistic regressions in Python
  • Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
  • Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
  • Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
  • Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow
  • Learn how to pre-process data
  • Start coding in Python and learn how to use it for statistical analysis
  • Carry out cluster and factor analysis
  • Apply your skills to real-life business cases
  • Unfold the power of deep neural networks
  • Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations
      
Course Contents
01. Part 2 Statistics 02. Statistics - Descriptive Statistics 03. Statistics - Practical Example Descriptive Statistics 04. Statistics - Inferential Statistics Fundamentals 05. Statistics - Inferential Statistics Confidence Intervals 06. Statistics - Practical Example Inferential Statistics 07. Statistics - Hypothesis Testing 08. Statistics - Practical Example Hypothesis Testing

· Posted by Superadmin on November 13 2019 · 0 Comments · 538 Reads · Print
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