Our Data Science with Python Course Syllabus teaches fundamental concepts and tools for data analysis and machine learning with Python. It begins with Python programming basics and their application in data science. The syllabus covers data manipulation and cleaning using NumPy and Pandas, exploratory data analysis (EDA) techniques, and data visualization with Matplotlib and Seaborn. So, enroll in our Data Science with Python Training Institute in Chennai to master Data Science with Python.
Data Science with Python Course Syllabus
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3-5 Real Time Projects
60-100 Practical Assignments
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May 2024
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Syllabus for The Data Science with Python Course
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Python – Overview
1
- A brief history of python
- Application and trends in python
- Available python versions
Python – Environment Setup
2
- Getting and installing python
- Environmental variables and idle
- Executing python from command line
Fundamentals
3
- I/o
- Naming conventions
- Datatypes:
- Numbers
- String
- List
- Tuple
- Dictionary
- Set
Python Operators
4
- List, Tuple, Dictionary, Set Methods
- Statements: If, elif, Break, Continue
- Loops: For loop, while loop
- Functions
Oops Concepts:
5
- Class and objects
- Getters and setters
- Properties
- Inheritance
- Polymorphism
- Special Functions of Python: Lambda, Map, Reduce, Filter
Modules in Python:
6
- Math
- Arrow
- Geopy
- Beautiful soup
- Numpy
- Sys
- Os
Multithreading:
7
- Introducing threads and life cycles
- Priorities
- Dead Locks
Exceptional Handling
8
- Errors
- Runtime errors
- Exceptional model
- Exceptional hierarchy
- Handling multiple exception
- Raise exceptions
File Handling
9
- Text files
- Csv files
Regular Expressions
10
- Simple character matches
- Flags, quantifers, greedy matches
- Grouping and matching objects
- Matching at beginning or end
- Substituting and splitting a string
- Compiling regular expressions
Gui Interfacing: Tkinter
11
- Widgets
- Integrated application
- Mysql/with application
- Converting .exe
Datascience Modules:
12
- pandas
- numpy
- scipy
- matplotlib
Python Data Processing
13
- Python Data Operations
- Python Data cleansing
- Python Processing CSV Data
- Python Processing JSON Data
- Python Processing XLS Data
- Python Relational databases
- Python NoSQL Databases
- Python Date and Time
- Python Data Wrangling
- Python Data Aggregation
- Python Reading HTML Pages
- Python Processing Unstructured Data
- Python word tokenization
- Python Stemming and Lemmatization
Python Data Visualization
14
- Python Chart Properties
- Python Chart Styling
- Python Box Plots
- Python Heat Maps
- Python Scatter Plots
- Python Bubble Charts
- Python 3D Charts
- Python Time Series
- Python Geographical Data
- Python Graph Data
Statistical Data Analysis
15
- Python Measuring Central Tendency
- Python Measuring Variance
- Python Normal Distribution
- Python Binomial Distribution
- Python Poisson Distribution
- Python Bernoulli Distribution
- Python P-Value
- Python Correlation
- Python Chi-square Test
- Python Linear Regression
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