Data Science Course Syllabus:

Python Fundamentals:
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1 Python Syntax
2 String and Console output
3 Conditional and control flow
4 Functions
5 Lists & Dictionaries
6 Loops
7 Classes and objects
8 File Input and Output

Data Science Basics:

Database Concept
Installation of Database
Entity Concept
Data Definition Concept
Data Manipulation Concept
SQL-Queries.

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1.Data Science Applications:
2.Introduction
3.Environment setup
4.Pandas
5.Numpy
6.SciPy
7.Data Processing

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1.Data operations
2.Data Cleansing
3.Processing CSV Data
4.Processing Json Data
5.Processing XLS Data
6.Data wrangling
7.Data Aggregation
8.Processing Unstructured Data
9.Word Tokenization
10.Stemming and Lemmatization

Data Visualization:
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1.Chart properties
2.Chart Styling
3.Box Plots
4.Heat Maps
5.Scatter plots
6.Bubble Charts
7.Time series
8.Graph Data
9.Statistical Analysis

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1.Measuring Central Tendency
2.Measuring Variance
3.Normal Distribution
4.Binomial Distribution
5.Poisson Distribution
6.Bernoulli distribution
7.P-Value
8.Correlation
9.Chi Square test
10.Linear Regression