Data Analytics Premium Course

This course is best for anyone who loves to work with huge data to get some hidden information which provide solutions to businesses to grow in their domains. You are welcome if you have analytical thinking with interest in programming to find the insights.

Module 1 – Data Analysis Basics

• Introduction to Data Analytics
• Data Analytics in Real Life
• Data Analysis vs Data Analytics
• Common Tools and Technologies
• Data and Its Importance
• Common Steps for Data Analysis
• Math Refresher

Module 2 – Statistics in Data Analysis

• Statistics in Data Analysis
• Types of Data
• Data Table, Charts, and Graphs
• The Fundamentals of Descriptive Statistics
• Measures of Central Tendency, Asymmetry, and Variability
• Dispersion and Distributions
• Probability
• Probability Distribution
• Sampling and Sampling Distribution
• Distribution of Sample Means, Population, and Variance
• Confidence Interval Estimation: Single Population
• Hypothesis Testing
• Error Handling in Hypothesis Testing
• Sample Size Calculation and One Way ANOVA
• Post Hoc Analysis (Tukey’s test)
• Randomize Block Design (RBD)
• Two Way ANOVA
• Linear Regression
• Estimation and Prediction of Regression Model Residual Analysis
• Multiple Regression Model
• Categorical Variable Regression
• Maximum Likelihood Estimation
• Logistic Regression
• Linear vs Logistic Regression Model
• Confusion Matrix and ROC
• Performance Testing of Logistic Model
• Building Regression Analysis Model
• Chi-square Test of Independence
• Chi-square Goodness of Fit Test
• Data Mining Using Cluster Analysis
• K- Means Clustering
• Hierarchical Method of Clustering
• Classification and Regression Trees
• Measures of Attribute Selection

Module 3 – Data Analysis Practical

• Basics of Python
• Python Data Structure
• Flow Control Statements
• Object-Oriented Programming
• Setup of Anaconda
• Jupyter Notebook
• Numerical Computing with NumPy
• Data Manipulation with Pandas
• Data Visualization with Matplotlib
• Data Manipulation and Visualization with SciPy

Our experienced faculty will work on a ‘Data Analytics Project from Scratch’ with you to enable you to work in data analytics industry as an expert after completion of this advanced course.

After successful completion of our Python Data Analytics Master Program, you are ready to apply as SQL Expert, Senior Data Analyst, Python Data Analyst, Business Analyst, and Python Developer.

Interested in this course take a look at some of the similar courses:

• Data Analytics Standard Course: 02 Months
• Data Analytics Master Course: 06 Months