Data scientists are analytical experts who utilize their skills in both technology and social science to find trends and manage data. They use industry knowledge, contextual understanding, skepticism of existing assumptions – to uncover solutions to business challenges.

1. Introduction to Data Science (1 hrs)
    a. Introduction/Definitions
    b. Fundamental of Data science
    c. Tools and skills

2. SQL for Data science (7 hrs)
    a. Relational database Concepts
    b. SQL syntax,datatypes,variables
    c. SQL Kewords, Joins,SQL Subsets
    d. SQL Constrainsts

3. Python for Data Science (7 hours)
    a.  Python for Data Analysis – NumPy
    b.  Python for Data Analysis – Pandas
    c. Python for Data Analysis - Scipy

4. Exploratory Data Analysis(7 hours)
    a. Cleaning Data
    b. Feature Engineering
    c. Data Visualization And Wrangling Of Data
    d. Outlier Detection

5. Visualization (5 hours)
    a. Python for Data Visualization – Seaborn
    b. Python for Data Visualization – Matplotlib

6. Machine Learning (7 hours)
    a. Supervised Machine Learning:
        I. Linear Regression
        II. Logistic Regression
        III. Decision Tree
        IV. Support Vector Machine
    b. Unsupervised Machine Learning:
        I. Clustering 
        II. Association

7. Time Series Analysis with Python: (5-7hours)
    a. ARMA Model
    b. ARIMA Model

8. Excel (5-7 hours)
    a. Excel Functions    
    b. Worksheets and Pivot tables
    c. Lookups and macros

9. Datawarehouse/ Data Mining/ Business Intelligence(7 hours)
    a. Oracle Data Integrator

10. POWER BI (5 hours)
    I. Data Collection
    II. Data Cleansing
    III. Data Transformation
    IV. Data Validation

11. Capstone Project

As per your time.

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