Elevate Your Data Skills with Advanced Data Analytics Certificate
The technology-driven world is in the requirement of professionals who can efficiently operate and utilize data. It is a skill that can be procured by superlative training with finest teaching methodologies. Acquiring the imperative knowledge with the Advanced Data Analytics Certification in Hakupu can mold a professional to use the data constructively and to coerce innovation-driven decisions in their career. By attaining this certification, an individual encompasses their awareness in various aspects of data analytics. It includes descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics. Furthermore, Advanced Data Analytics Certification adorns professionals with obligatory knowledge in data visualization, text mining, social media analysis, and more.
Curious to know more about Advanced Data Analytics Exam?
The well articulated course package elaborates on the subject of advanced data analytics and equips the aspirant with a thorough knowledge from the basics of data analytics like data visualization and data types to Python and tableau training. Advanced Data Analytics Exam consists of 20 questions where the toughness of the questions may increase from start to end. The duration of the exam is 2 hours. However, our training program delivers all the imperative knowledge on the subject and emboldens candidates to crack their exam on the first attempt. Based on the training format chosen, professionals can attempt the exam in online or offline mode.
A Glimpse on the Advanced Data Analytics Training
Advanced Data Analytics Training in Hakupu Niue is offered through live online and in-classroom by Unichrone. The sessions will be conducted for 4 days. The course is delivered by industrial experts having profound knowledge of data analytics. This includes statistical analysis and feature engineering which teaches about handling unstructured and unbalanced data, model validation, and more. In addition, the course covers business analytics with excel, power pivot and formula editing. This training is integrated with its hands-on session that fabricates the individual to apply their acquired knowledge in their professional life without any rigor. It is authenticated to help the aspirants excel in their respective fields with the broader scope of various data analytics concepts.
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Advanced Data Analytics Exam Details in Hakupu | |
Exam Name | Advanced Data Analytics Certification |
Exam Format | Multiple choice |
Total Questions | 20 Questions |
Passing Score | 70% |
Exam Duration | 2 Hours |
Key Features of Advanced Data Analytics Certification Training in Hakupu Niue
Our Advanced Data Analytics Training Course in Hakupu is for candidates interested in exploring various perspectives of data analytics at an advanced level. Candidates can take this course through various formats. Our training curriculum covers and includes a wide range of topics like fancy indexing, and customizing plot legends. This is abridged in such a way as to make it coherent to any professional. Advanced Data Analytics Course has collaborated to acquire a wide range of career opportunities, which opens in front of a person after completing the course. This ranges from an analytics and modeling practitioner to Advanced Data Scientist. With its far-flung characteristics such as 24/7 trainer support and economical fee structure Unichrone alleges a tranquil position in the industry.
- 4 Day Interactive Instructor –led Online Classroom or Group Training in Hakupu Niue
- Course study materials designed by subject matter experts
- Mock Tests to prepare in a best way
- Highly qualified, expert trainers with vast industrial experience
- Enrich with Industry best practices and case studies and present trends
- Advanced Data Analytics Training Course adhered with International Standards
- End-to-end support via phone, mail, and chat
- Convenient Weekday/Weekend Advanced Data Analytics Training Course schedule in Hakupu Niue
Advanced Data Analytics Certification Benefits
Higher Salary
With this renowned credential, aspirants earn higher salary packages when compared to non-certified professionals in the field
Individual accomplishments
Aspirants can look for higher career prospects at an early stage in their life with the most esteemed certification
Gain credibility
Owning the certification makes it easier to earn the trust and respect of professionals working in the same field
Rigorous study plan
The course content is prescribed as per the exam requirements, covering the necessary topics to ace the exam in the first attempt
Diverse job roles
Attaining the certification enhances the spirit of individuals to pursue diverse job roles in the organization
Sophisticated skillset
With this certification, individuals acquire refined skills and techniques required to play their part in an organization
Advanced Data Analytics Course Curriculum
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Module 1: Introduction to ISO 22716
Topics
- · 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
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Module 2: Introduction to Statistical Analysis
Topics
- · Counting, Probability, and Probability Distributions
- · Sampling Distributions
- · Estimation and Hypothesis Testing
- · Scatter Diagram
- · ANOVA and Chi-Square
- · Imputation Techniques
- · Data Cleaning
- · Correlation and Regression
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Module 3: Data Wrangling with SQL
Topics
- · 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
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Module 4: Presto
Topics
- · Introduction to Presto
- · Writing Queries in Presto on Large Data Sets
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Module 5: Feature Engineering
Topics
- · 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
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Module 6: Introduction to Data Analysis with MS Excel
Topics
- · Steps to Analyse Data
- · Introduction to Tables
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Module 7: Cleaning Data with Text Functions
Topics
- · Removing Unwanted Characters from the Text
- · Steps for Data Cleaning
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Module 8: Sorting and Filtering
Topics
- · 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
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Module 9: Exploring Lookup Functions
Topics
- · VLookUp Functions in Excel
- · HLookUp Functions in Excel
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Module 10: Introduction to Power Pivot and Formula Auditing
Topics
- · 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
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Module 11: DAX Variables and Formatting
Topics
- · What is DAX?
- · Data Types and Operators
- · DAX Variables
- · Formatting DAX Code
- · Debugging Errors in DAX Code
- · Progressive DAX Syntax and Functions
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Module 12: Introduction to Power Map
Topics
- · Create a Power Map
- · Explore Sample Datasets in Power Map
- · Visualise Data in Power Map
- · Create a Custom Map in Power Map
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Module 13: Design a Dashboard Using Data Model
Topics
- · Using PowerPoint and Excel
- · Make a Dashboard in Excel
- · Customise with Macros, Colour, etc.
- · Make a Dashboard in Smartsheet
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Module 14: Python for Data Analysis - NumPy
Topics
- · Introduction to NumPy
- · NumPy Arrays
- · Aggregations
- · Computation on Arrays: Broadcasting
- · Comparison, Boolean Logic and Masks
- · Fancy Indexing
- · Sorting Arrays
- · NumPy’s Structured Arrays
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Module 15: Python for Data Analysis – Pandas
Topics
- · 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
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Module 16: Python for Data Visualisation – Matplotlib
Topics
- · 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
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Module 17: Python for Data Visualisation – Seaborn
Topics
- · 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
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Module 18: Get Started
Topics
- · What is Tableau?
- · Steps in Creating Tableau Data Analysis Report
- · Navigation
- · Data Terminology
- · Design Flow
- · File Types
- · Data Types
- · Show Me
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Module 19: Data Sources
Topics
- · Types of Data Sources
- · Custom Data View
- · Extracting Data
- · Fields Operations
- · Editing Metadata
- · Data Joining
- · Data Blending
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Module 20: Worksheets
Topics
- · Add and Rename
- · Save and Delete
- · Reorder Worksheet
- · Paged Workbook
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Module 21: Calculations
Topics
- · Operators
- · Functions
- · Calculations
- · Numeric
- · String
- · Date
- · Table
- · LOD Expressions
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Module 22: Sort and Filters
Topics
- · Basic Sorting
- · Basic Filters
- · Filters
- · Quick
- · Context
- · Condition
- · Top Filters
- · Filter Operations
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Module 23: Tableau Charts
Topics
- · Chart
- · Bar
- · Line
- · Pie
- · Crosstab
- · Scatter Plot
- · Bubble Chart
- · Bullet Graph
- · Box Plot
- · Tree Map
- · Bump Chart
- · Gantt Chart
- · Histogram
- · Motion Charts
- · Waterfall Charts