About this course
Data Science is one the hottest careers of the 21st century with an average salary of 120,000 USD per annum. Data proficiency is as important as computer proficiency was 20 years back. Huge investments in analytics by top companies such as Google, Facebook and Amazon are creating millions of jobs. This full course on data science gives you an in-depth understanding of the programming and statistics basics that are required to build a strong foundation and start your journey towards becoming a data scientist. The course explains the basics of Python programming and the various packages required for data science. It also covers statistical distributions and uni variate, bi variate and multivariate statistics. You will then learn a fundamental data science technique called regression. You will be introduced to various types of regression and understand how to solve business problems using these techniques. The entire course is experiential and hands-on and involves solving real-world problems.
Data Science Tutorial
- Descriptive statistics
- Understanding distributions and plots
- Univariate statistical plots and usage
- Bivariate and multivariate statistics
- Intro to python
- Variables, operators, datatypes and strings in python
- Tuples, list, dictionary and set in python
- Python functions and classes
- Intro to numpy array
- Intro to linear regression
- Relationship between independent variable and target variable
- Coefficient of correlation
- Linear regression assumptions
- Introduction to logistic regression
- Sigmoid curve and logloss function
- Model cases of logistic regression
Get Data Science with Python course completion certificate from Great learning which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.
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