Advanced Data Analysis for Business
-
By
Krishna Kumar
- 03/Jul/2024
- 0 Students
Course Description
Chapter 1: Introduction to Data Analysis in Business
- Overview of data analysis and its importance in business
- Types of data: Structured vs. Unstructured
- Data-driven decision making and business intelligence tools
Chapter 2: Data Collection and Preprocessing
- Data sources: Internal and external
- Data cleaning, missing values, and outlier handling
- Data transformation and normalization
Chapter 3: Descriptive Statistics and Data Visualization
- Measures of central tendency (mean, median, mode)
- Dispersion measures (variance, standard deviation)
- Visualization techniques (charts, histograms, box plots)
Chapter 4: Probability and Statistical Inference
- Probability theory and distributions (normal, binomial)
- Hypothesis testing (z-test, t-test)
- Confidence intervals and p-values
Chapter 5: Regression Analysis
- Simple and multiple linear regression
- Model evaluation (R-squared, Adjusted R-squared, p-values)
- Assumptions and diagnostics
Chapter 6: Time Series Analysis and Forecasting
- Time series components (trend, seasonality, noise)
- Moving averages and exponential smoothing
- ARIMA models and forecasting
Chapter 7: Machine Learning for Business Analytics
- Introduction to supervised and unsupervised learning
- Key algorithms: Decision Trees, Random Forests, K-means
- Model evaluation metrics (accuracy, F1-score, AUC)
Chapter 8: Optimization and Decision Analysis
- Linear programming and optimization techniques
- Sensitivity analysis and decision trees
- Monte Carlo simulation for decision-making
Chapter 9: Big Data and Analytics Tools
- Introduction to big data concepts
- Tools: Hadoop, Spark, and SQL for business analytics
- Cloud computing for data storage and analysis
Chapter 10: Ethical Considerations in Data Analysis
- Data privacy and security concerns
- Bias in data and algorithms
- Ethical use of data in business decisions
Course Curriculum
Krishna Kumar
Founder, AICT PVT LTD, IoT & Embedded System Academic Trainer, Data ScientistI am a web developer with a vast array of knowledge in many different front end and back end languages, responsive frameworks, databases, and best code practices
This Course Fee:
₹35000
₹35000
₹45000
Course includes:
-
Level
-
Intermediate
Expert
-
Duration
166h 40m
-
Lessons
0
-
Quizzes
0
-
Certifications
Yes
-
Language
-
English
Hindi