★★★★★ 5/5
- Instructor : Industrial expert
- Duration : 80+ Hours
- Software & Tools : Yes
- Certificate : Yes
- Access : Lifetime
- Ongoing support : Yes
- Placement Guarentee : Yes
Data analytics converts raw data into actionable insights. It includes a range of tools, technologies, and processes used to find trends and solve problems by using data. Data analytics can shape business processes, improve decision-making, and foster business growth.
Overview of data analytics
Importance in various industries
Tools and software overview (Excel, Python, R)
Descriptive statistics
Central tendency and dispersion
Probability distributions
Handling missing data
Outlier detection and removal
Data normalization and scaling
Data visualization techniques (matplotlib, seaborn)
Correlation analysis
Univariate and bivariate analysis
Hypothesis testing
Confidence intervals
Regression analysis
Basics of SQL
Querying databases for analytics
Overview of machine learning
Supervised vs. unsupervised learning
Model evaluation metrics
Linear regression
Logistic regression
Model training and evaluation
Time series data basics
Forecasting techniques
K-means clustering
Principal Component Analysis (PCA)
Basics of NLP
Text preprocessing and analysis
Students work on a real-world project applying learned skills
Presentation and documentation
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