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Week
1
( 18 Hours )
Introduction and Analytics in Decision Making
- Overview of data analytics
- Importance of analytics in contemporary decision-making processes.
- Exploration of analytics applications in effective decision-making.
- Real-world examples of successful analytics driven decision strategies.
Week
2
( 18 Hours )
Maturity Model Setup, SQL and Python Concepts
- Understanding the maturity model in analytics.
- Practical setup and utilization of analytics tools for maturity assessment.
- Brush up on SQL and Python concepts crucial for data analytics.
- Hands-on exercises to reinforce SQL and Python skills.
Week
3
( 18 Hours )
Data Acquisition & Data Profiling
- Sources and types of data for analytics.
- Techniques for data acquisition, storage, and maintaining data quality.
- Introduction to Azure or Google Cloud Platform for data handling.
Week
4
( 18 Hours )
Statistical Inference - An overview of hypothesis testing
- One sample and two sample t-tests, Z-tests, and chi-square tests.
- Understanding Type I and Type II errors.
- Interpretation of confidence intervals.
Week
5
( 18 Hours )
Exploratory Data Analysis
- Techniques for exploring and summarizing data.
- Introduction to stream analytics pipeline for real-time data examination.
Week
6
( 18 Hours )
Regression and Statistics
- Simple linear regression
- Multiple linear regression
- Non-linear regression
- Logistic regression
- Probability theory
- Descriptive statistics
- Inferential statistics
Week
7
( 18 Hours )
Python for Data Analytics
- Introduction to Python
- Python libraries for data analytics
- Data manipulation and cleaning using Python
- Data visualization using Python
Week
8
( 18 Hours )
Predictive Analytics
- Overview of predictive analytics
- Time series analysis
- ARIMA modeling
- Exponential smoothing
Week
9
( 18 Hours )
Forecasting
- Overview of forecasting
- Time series forecasting
- ARIMA modeling for forecasting
- Exponential smoothing for forecasting
Week
10
( 18 Hours )
Optimizing Decision Making
- Overview of decision making
- Decision trees and random forests for decision making
- Neural networks for decision making
Week
11
( 18 Hours )
Telling Impactful Stories with Data
- Overview of data storytelling
- Data visualization for storytelling
- Communicating insights through storytelling
Week
12
( 18 Hours )
Integrating All Aspects of Data Analytics
- Integrating all aspects of data analytics
- Hands-on project to apply all concepts learned in the course
- Presentation of the project to showcase skills and knowledge acquired in the course
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