What is Advanced Data Analytics Certification all about?
Growth of the digital world and the use of Internet is on the boom and so is true about the increase of user data. Advanced Data Analytics Certificate in Kuwait helps candidates understand the intricacies of user data and obtain insights to make strategic decisions. This certification focuses on topics in data analysis, including predictive modelling, machine learning, data visualization, and big data analytics. Organizations in the digital era heavily rely on data-driven insights for making crucial decisions. Thus, certified Data Analyst play a vital role in extracting valuable information from large databases using acquired skills and knowledge. Professionals holding a certification in Advanced Data Analytics bring contrasting expertise and credibility to an organization’s data analytics team. Organizations prefer hiring certified individuals to ensure effective data analytics and derive actionable insights. Advanced Data Analytics Certification signifies a commitment to excellence in the relevant field of data analytics and sets candidates apart from their peers.
Why do organizations need Certified Advanced Data Analytics Professionals?
Organizations depend on data analytics for strategic decision-making, competitive edge, and operations optimization. They are in need of well-trained people on Advanced Data Analytics who are capable of making the right analysis, intelligible interpretation, and utilization of data assets. Such professionals know how to use new analytic techniques such as the machine learning model, predictive modeling, and data visualization to get meaningful insights from intricate and challenging datasets. Even further certification is a proof that they are good at what they do in this field thus it assures their employers of their capability of creating value by using data-driven strategies. In conclusion, certified professionals in Advanced Data Analytics play an important role in enabling innovation, growth, and success through the utilization of information by organizations.
An Insight into Advanced Data Analytics Training
Advanced Data Analytics Training in Kuwait offered by Unichrone is an all-inclusive practical training. It covers the latest techniques such as data mining, predictive modeling, machine learning, and data visualization. Participants will acquire real skills and hands-on experience through live online instructor-led sessions or in-classroom corporate group training settings that will make them standout in the field. The course is concluded with a certification exam meant to measure knowledge of advanced data analytics concepts and methodologies. This exam normally takes about 2 hours and comprises multiple-choice questions, case studies and practical exercises. Professionals are encouraged to sit for this examination to confirm their competencies as well as open up other job opportunities ahead of them. Thus it guarantees that applicants have a full understanding of advanced principles in data analytics and also its application which enables them fit into the fast-changing industry needs.
Corporate Group Training
- Customized Training
- Live Instructor-led
- Onsite/Online
- Flexible Dates
Advanced Data Analytics Exam Details | |
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 Kuwait
Advanced-Data Analytics Certification Training in Kuwait empowers data analysts to take up real-world data projects by supporting them with real data examples to work with. Unichrone provides individuals with ample opportunities to practice and code on their own. This training program lets professionals gain knowledge from a basic level right from importing intricated data, cleaning and sorting data, merging, grouping, aggregating, and exploring data analysis to processing the resultant data for statistics, presentation, and so on. It uses maths, statistics, programming, artificial intelligence (AI), and machine learning to unveil insights into the data-driven organization. Data Analytics Training Course stands out for a few reasons. For instance, it offers flexible training formats including live online instructor-led sessions and in-classroom corporate group training. Interested professionals can choose from a variety of flexible training formats as per their preferences and schedules. Opting for our training program provides several other benefits including comprehensive coverage of advanced data analytics topics, hands-on experience with popular analytical tools, expert instruction from industry professionals, flexible training schedules, and globally recognized certification upon completion.
- 4 Day Interactive Instructor –led Online Classroom or Group Training in Kuwait
- Course study materials designed by subject matter experts
- Mock Tests to prepare in a best way
- Highly qualified, expert & accredited trainers with vast 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 Kuwait
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