Data Analytics

"Unleash Insights, Drive Impact: Empowering Decision-Making Through Analytics."

"Dive into the dynamic world of data analytics with our comprehensive course. Learn to harness the power of data to drive strategic decision-making and uncover actionable insights. Explore statistical analysis, data visualization, and predictive modeling techniques. Master essential tools such as Python, R, and SQL. Gain hands-on experience through real-world projects and case studies. Equip yourself with the skills and knowledge to thrive in today's data-driven landscape."

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Course Overview

📗Fundamentals of Data Analysis:
Understand the core principles, including data collection, cleaning, and exploratory data analysis.
📗Statistical Analysis:
Learn key statistical techniques for hypothesis testing, regression analysis, and predictive modeling.
📗Data Visualization Techniques:
Master tools and methods for creating impactful visual representations of data using software like Tableau or Python libraries.
📗Advanced Analytical Tools:
Explore more sophisticated analytical methods such as time series analysis and machine learning integration.
📗Practical Applications:
Apply data analysis skills to real-world scenarios in business, science, or public policy to derive actionable insights.

pngegg (5)

>Input/output
>Data Types
>Variables
>Operators
>Control Flow
>Functions
>OOPs Concepts
>Exception Handling
>Collections

>System of Linear Equation
>Matrix Operation
>Inverse Transpose Solving
>Linear Equations using >Gaussian
>Elimination
>6 Row Echelon Form
>Matrix Approximation
>Vector Operations
>Linear Mappings
>Linear Algebra
>Probability

> Mean, Standard Deviation
>Variance-Implementation.
>Descriptive and Inferential Statistics.
>Probability Theory and Distribution.
>Sampling Distribution.
>Linear Regression.
>Sample Error and True Error.
>Bias Vs Variance and Its Trade
>Hypothesis Testing.
>Confidence Intervals.
>Correlation and Covariance.
Correlation Coefficient.
>Covariance Matríx.
>Pearson Correlation.
>Spearman’s Rank Correlation Measure.
>Kendall Rank Correlation Measure.
>Robust Correlations

Basics of Data visualization

>major project

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