- Introduction of data science
- Data Science life cycle
- Tools of data science
- Introduction to Python
- Introduction to Machine Learning
- Introduction to Python Programming
- Basic operation
- Variable assignment
- Functions in python
- Condition and loops
- Data structure
- Array, Object, Exception handling
- File handling
- Introduction of NumPy and pandas in Libraries in python
- Installation of Pandas and NumPy libraries
- Data visualization libraries like (MATPOTLIB and SEABORN)
- Introduction to Power BI
- Introduction to SQL
- Fundamentals of Structured Query Language
- SQL Tables, Joins, Variables
- SQL Functions, Subqueries, Rules, Views
- Nested Queries, string functions, pattern matching
- Mathematical functions, Date-time functions, etc.
- Introduction of Statistics
Statistical Function like (Mean , Median , Mode)
- Measure of central tendency, measure of spread, five points summary
- EDA parts (Data Wrangling)
- Correlation Matrix
- Normal Distribution , Skewness , bell curve
- Probability Distributions, bayes theorem, central limit theorem.
- Introduction to Machine Learning and categories
- Data Preprocessing
- Data Preparation
- Machine Learning types and algorithms
- Introduction Parameter in Machine Learning and PCA
- Introduction on Github and Kaggle
- Implementation of case study
- Git Lifecycle, Git commands, Working with branches
- Github collaboration (pull request), Github Authentication (SSH and HTTP)
- Merging branches, Resolving merge conflicts, Git workflow
- Recommendation Engine
- Housing & Census
- Object Detection
- Stock Market Analysis
- AI Chatbot
In the end you should only measure and look at the numbers that drive action,
meaning that the data tells you what you should do next.
- Alexander Peiniger
- Math, Strings, Conditionals, and Loops.
- Python Structures.
- Different Modes of Python.
- Data Structures or Collections.
- List, Tuples & Sets.
- Regular expressions.
- Python Data Base Communications(PDBC).
For any working person, salary is one of the most important things to think about when they are looking for a job. People who work as Python Developers make different amounts of money based on how long they have worked there.
The more skilled a developer is, the more money they make. When it comes to the salary of a Python Developer, there are a lot of other things to think about. So for now, let’s look at the average salary in India and how it’s changed over the last few years.
If you start out as a Python Developer, the average salary is ₹427,293. The salary can go up to a maximum of ₹1,000,000 a year, but it can’t go above that. If you have the right skills, experience, and where you work, the minimum salary can be around ₹225,076 per year.
People all over the world use Python as a programming language for data science. Another good thing about it is how easy it is to change.
However, there is still a big gap between the number of people who know how to use python and the number of people who need them. People all over the world have a gap in their skills.
Even the most well-known software development companies in India don’t have enough people who know python. While the language is becoming more popular, there is still not enough interest in taking a course or getting a certification so that you can start a new job. It is a good job that more and more people should think about doing.