Codersarts’s Data Science using Python programming certification course enables you to learn data science concepts from scratch. This Python Course will also help you master important Python programming concepts such as data operations, file operations, object-oriented programming and various Python libraries such as Pandas, Numpy, Matplotlib which are essential for Data Science. Codersarts's Python Certification Training course is also a gateway towards your Data Science career.
Python Course Curriculum
Introduction to python
Introduction
Python: An Overview
History of Python
Version of Python
Feature of Python
Execution of Programs
Python Comment
Python Variables & Data Types: What are the variables?, Assign Variables
Data Types: Numeric Data Types, Boolean Data Types, Dictionaries, Sets, etc
Operators: Types of Operators, Arithmetic Operators, Relational Operators, Assignment Operators, Logical / Boolean Operators, Identity Operators, And Others
Python Conditional Statements
The If Statements
The if-else Statements
The Elif Statements
The Nested If – Else Statements
Python Looping Concept: Python for Loop, Python While Loop
Python String: Accessing Strings, Basic Operations, String slices, String Built-In Function
File Handling (Input / Output): Introduction, Opening & closing Files, Reading & writing Files, Rename & Remove Files
Python List
Python Tuple
Dictionary
Python Sets
OOPs Concepts
Introduction to NumPy, Pandas and Matplotlib
NumPy - arrays
Operations on arrays
Indexing slicing and iterating
Reading and writing arrays on files
Pandas - data structures & index operations
Reading and Writing data from Excel/CSV formats into Pandas
matplotlib library
Grids, axes, plots
Markers, colours, fonts and styling
Types of plots - bar graphs, pie charts, histograms
Contour plots
NumPy library- Creating NumPy array, operations performed on NumPy array
Pandas library- Creating series and dataframes, Importing and exporting data
Matplotlib - Using Scatterplot, histogram, bar graph, pie chart to show information, Styling of Plot
Data Manipulation
Pandas Function- Ndim(), axes(), values(), head(), tail(), sum(), std(), iteritems(), iterrows(), itertuples()
GroupBy operations
Aggregation
Concatenation
Merging
Joining
Introduction to Machine Learning with Python
Machine Learning concepts
Machine Learning types
Linear Regression Implementation
Supervised Learning
Unsupervised Learning
Association Rules Mining and Recommendation Systems
Dimensionality Reduction
Reinforcement Learning
Time Series Analysis
Model Selection and Boosting
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