Data Science with Python Course Syllabus
We cover basic to advanced concepts in our Data Science with Python Course Syllabus that contains variables, lists, loops, statements, dictionaries, functions, data structures, typecasting, I/O functions, external libraries like Numpy, pandas, matplotlib, and so on. Our Data Science with Python Course Curriculum is personalized as per the skill level of learners on the specialized modes of Data Science with Python Training in Chennai. Softlogic Systems is providing the industry-valued certificate to explore the real data science world with job-ready skills.
Fundamental Python Syllabus
Python – Overview
- A brief history of python
- Application and trends in python
- Available python versions
Python – Environment Setup
- Getting and installing python
- Environmental variables and idle
- Executing python from command line
Fundamentals
- I/o
- Naming conventions
- Datatypes:
- Numbers
- String
- List
- Tuple
- Dictionary
- Set
Python Operators
- List, Tuple, Dictionary, Set Methods
- Statements: If, elif, Break, Continue
- Loops: For loop, while loop
- Functions
Python Operators
List, Tuple, Dictionary, Set Methods
Statements: If, elif, Break, Continue
Loops: For Loop, While Loop
Functions
Oops Concepts:
- Class and objects
- Getters and setters
- Properties
- Inheritance
- Polymorphism
- Special Functions of Python: Lambda, Map, Reduce, Filter
Modules in Python:
- Math
- Arrow
- Geopy
- Beautiful soup
- Numpy
- Sys
- Os
Multithreading:
- Introducing threads and life cycles
- Priorities
- Dead Locks
Exceptional Handling
- Errors
- Runtime errors
- Exceptional model
- Exceptional hierarchy
- Handling multiple exception
- Raise exceptions
File Handling
- Text files
- Csv files
Regular Expressions
- Simple character matches
- Flags, quantifers, greedy matches
- Grouping and matching objects
- Matching at beginning or end
- Substituting and splitting a string
- Compiling regular expressions
Generators
Iterators
Decorators
Closures
Gui Interfacing: Tkinter
- Widgets
- Integrated application
- Mysql/with application
- Converting .exe
Project 1: Loops, oops concepts, threading
Analytical Python Syllabus
Introduction
Datascience Modules:
- pandas
- numpy
- scipy
- matplotlib
Python Data Processing
- 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
- 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
- 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
Project 2: Tkinter-Gui
Conclusion
Get a personalized training and professional certificate for learning at Softlogic Systems and we have the very best and industry-coherent Data Science with Python Course Syllabus. Join us to explore a wide range of job opportunities through our Data Science with Python Course at Softlogic.