Advanced Data Analytics Certification Course Outline
Domain 1: Data Analytics
Module 1: Introduction to Data Analytics
- Data Analytics Overview
- Types of Data Analytics
- Descriptive Analytics
- Diagnostic Analytics
- Predictive Analytics
- Prescriptive Analytics
- Benefits of Data Analytics
- Data Visualisation for Decision Making
- Data Types, Measure of Central Tendency, Measures of Dispersion
- Graphical Techniques, Skewness and Kurtosis, Box Plot
- Descriptive Stats
- Sampling Variation, Central Limit Theorem, Confidence Interval
- Optimisation Techniques for Data Analytics
Module 2: Introduction to Statistical Analysis
- Counting, Probability, and Probability Distributions
- Sampling Distributions
- Estimation and Hypothesis Testing
- Scatter Diagram
- ANOVA and Chi-Square
- Imputation Techniques
- Data Cleaning
- Correlation and Regression
Module 3: Data Wrangling with SQL
- Introduction to SQL
- Database Normalisation
- Entity-Relationship Model
- SQL Operators
- Join, Tables, and Variables
- SQL Functions
- Subqueries
- Views and Stored Procedures
- User-Defined Functions
- SQL Performance and Optimisation
- Advanced Concepts
- Correlated Subquery
- Grouping Sets
Module 4: Presto
- Introduction to Presto
- Writing Queries in Presto on Large Data Sets
Module 5: Feature Engineering
- Handling Unstructured Data
- Machine Learning Algorithms
- Bias Variance Trade-Off
- Imbalance Data
- Handling Unbalanced Data
- Boosting
- Model Validation
- Hyper Parameter Optimisation
- Advanced Machine Learning Libraries – Xgboost
- Solving Problems on Kaggle
Domain 2: Business Analytics with Excel
Module 6: Introduction to Data Analysis with MS Excel
- Steps to Analyse Data
- Introduction to Tables
Module 7: Cleaning Data with Text Functions
- Removing Unwanted Characters from the Text
Module 8: Sorting and Filtering
- What is Sorting and Filtering?
- Applying Sorting on Two Columns
- Steps to Sort Dates and Columns by Colours
- Apply Filtering
- Clear Filter
- Apply Filter on Text
Module 9: Exploring Lookup Functions
- VLookUp Functions in Excel
- HLookUp Functions in Excel
Module 10: Introduction to Power Pivot and Formula Auditing
- Working with Pivot Tables
- How to Use Power Pivot?
- Measures
- Dimension Tables
- Relationships
- Advanced Functions
- Data Visualisation and Analysis
- Show Formulas
- Trace Precedents
- Trace Dependents
- Evaluate Formula
Module 11: DAX Variables and Formatting
- What is DAX?
- Data Types and Operators
- DAX Variables
- Formatting DAX Code
- Debugging Errors in DAX Code
- Progressive DAX Syntax and Functions
Module 12: Introduction to Power Map
- Create a Power Map
- Explore Sample Datasets in Power Map
- Visualise Data in Power Map
- Create a Custom Map in Power Map
Module 13: Design a Dashboard Using Data Model
- Using PowerPoint and Excel
- Make a Dashboard in Excel
- Customise with Macros, Colour, etc.
- Make a Dashboard in Smartsheet
Domain 3: Programming Basics and Data Analytics with Python
Module 14: Python for Data Analysis - NumPy
- Introduction to NumPy
- NumPy Arrays
- Aggregations
- Computation on Arrays: Broadcasting
- Comparison, Boolean Logic and Masks
- Fancy Indexing
- Sorting Arrays
- NumPy’s Structured Arrays
Module 15: Python for Data Analysis – Pandas
- Installing Pandas
- Pandas Objects
- Data Indexing and Selection
- Operating on Data in Pandas
- Handling Missing Data
- Hierarchical Indexing
- Concat and Append
- Merge and Join
- Aggregations and Grouping
- Pivot Tables
- Vectorised String Operations
- Working with Time Series
Module 16: Python for Data Visualisation – Matplotlib
- Overview
- Object-Oriented Interface
- Simple Line Plots and Scatter Plots
- Visualising Errors
- Contour Plots
- Histograms, Binnings, and Density
- Customising Plot Legends
- Customising Colour Bars
- Multiple Subplots
- Text Annotation
- Three-Dimensional Plotting
Module 17: Python for Data Visualisation – Seaborn
- Installing Seaborn and Load Dataset
- Plot the Distribution
- Regression Analysis
- Basic Aesthetic Themes and Styles
- Distinguish Between Scatter Plots, Hexbin Plots, and KDE Plots
- Use Boxplots and Violin Plots
Domain 4: Tableau Training
Module 18: Get Started
- What is Tableau?
- Steps in Creating Tableau Data Analysis Report
- Navigation
- Data Terminology
- Design Flow
- File Types
- Data Types
- Show Me
Module 19: Data Sources
- Types of Data Sources
- Custom Data View
- Extracting Data
- Fields Operations
- Editing Metadata
- Data Joining
- Data Blending
Module 20: Worksheets
- Add and Rename
- Save and Delete
- Reorder Worksheet
- Paged Workbook
Module 21: Calculations
- Operators
- Functions
- Calculations
- Numeric
- String
- Date
- Table
- LOD Expressions
Module 22: Sort and Filters
- Basic Sorting
- Basic Filters
- Filters
- Top Filters
- Filter Operations
Module 23: Tableau Charts
- Chart
- Crosstab
- Scatter Plot
- Bubble Chart
- Bullet Graph
- Box Plot
- Tree Map
- Bump Chart
- Gantt Chart
- Histogram
- Motion Charts
- Waterfall Charts