Python Data Science: Data Prep & EDA with Python

Complete Data Science Training: Math, Statistics, Python, Advanced Statistics in Python, Machine and Deep Learning

Created by: 365 Careers
Creating opportunities for Data Science and Finance students

What Will I Learn?

• The course provides the entire toolbox you need to become a data scientist
• 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
• Impress interviewers by showing an understanding of the data science field
• Learn how to pre-process data
• Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
• Start coding in Python and learn how to use it for statistical analysis
• Perform linear and logistic regressions in Python
• Carry out cluster and factor analysis
• Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
• Apply your skills to real-life business cases
• Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
• Unfold the power of deep neural networks
• Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
• Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations

Requirements

• No prior experience is required. We will start from the very basics
• You’ll need to install Anaconda. We will show you how to do that step by step
• Microsoft Excel 2003, 2010, 2013, 2016, or 365

Target audience

• You should take this course if you want to become a Data Scientist or if you want to learn about the field
• This course is for you if you want a great career
• The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills