Data Analysis & BI Qualifications
Data Analysis and Business Intelligence
Certified Business Intelligence Professional (CBIP)
The Certified Business Intelligence Professional (CBIP) qualification is a professional credential awarded by the Data Warehouse Institute (TDWI). It validates the knowledge, skills, and expertise of individuals in the field of business intelligence (BI).
The CBIP certificate covers various aspects of BI, including data integration, data management, analytics, reporting, and performance management. It demonstrates that an individual possesses a comprehensive understanding of BI concepts, methodologies, and best practices.
To become certified, candidates must pass a series of exams that evaluate their proficiency in different areas of BI. The exams typically cover topics such as data modelling and design, data integration and quality, dimensional modelling, metadata management, and business analytics.
Job Roles: BI analyst, data analyst, data architect, data scientist, and BI managers.
Certified Analytics Professional (CAP)
The Certified Analytics Professional (CAP) qualification is a professional credential awarded by the Institute for Operations Research and the Management Sciences (INFORMS). It is designed to recognize individuals who have demonstrated expertise in the field of analytics.
The CAP certification validates the knowledge and skills of analytics professionals across various domains, including descriptive analytics, predictive analytics, prescriptive analytics, and the overall analytics process. It signifies that an individual has a deep understanding of analytics methodologies, tools, and best practices.
To earn the CAP certification, candidates must meet certain eligibility criteria and pass a rigorous exam. The exam assesses their proficiency in key areas such as data management, statistical analysis, data visualization, predictive modelling, and ethical considerations in analytics.
Job Roles: Data Analyst, Data Scientist, Data Engineer, Business Analyst
Azure Data Scientist Associate
The Azure Data Scientist Associate qualification is a certification offered by Microsoft Azure that validates the skills and knowledge of professionals working with data science and machine learning on the Azure platform. It demonstrates an individual's proficiency in using Azure technologies and tools to build, deploy, and manage machine learning models.
To earn the Azure Data Scientist Associate certification, candidates need to pass the DP-100: Designing and Implementing a Data Science Solution on Azure exam. This exam evaluates the candidate's ability to perform various tasks related to data science, including data exploration and preparation, modeling, feature engineering, training and validating models, deploying models, and managing the entire data science lifecycle on Azure.
By obtaining this certification, data scientists can showcase their expertise in leveraging Azure's advanced analytics and machine learning services, such as Azure Machine Learning, Azure Databricks, and Azure Cognitive Services, to develop and operationalize data-driven solutions.
Job Roles: Data Scientist, AI Engineer, Machine Learning Engineer
AWS Certified Big Data Specialist
The AWS Certified Big Data specialist certificate focuses on validating a professionals' skills and expertise in designing and implementing big data solutions on the AWS platform.
Designed for individuals who work with big data technologies on AWS and are involved in data analysis, data engineering, data transformation, and data visualisation. It demonstrates proficiency in using AWS services to process and analyse large datasets, implement data security and compliance, and design scalable and efficient data pipelines.
To achieve the AWS Certified Big Data qualification, candidates are required to demonstrate their knowledge and skills in several areas, including data collection, storage, data management, processing, visualisation, security, design, analysis and architectural patterns. It is a highly specialised qualification, it is recommended that you have worked in data analysis for at least 5 years and with AWS technologies for at least 2 years before studying the course and taking the exam.
By gaining the AWS Certified Big Data - Specialty certificate, professionals can showcase their expertise in leveraging AWS services for big data processing, analysis, and visualization. It validates their ability to design and implement robust and scalable big data solutions on the AWS platform.
Job Roles: Big Data Analyst, Data Architect, Data Solutions Consultant
Certified Microsoft Power BI Data Analyst
This exam aims to assess the qualifications and skills of candidates who can effectively deliver valuable insights by leveraging available data and applying their domain expertise. Certified candidates are capable of providing meaningful business value through the creation of easily understandable data visualisations, enabling others to conduct self-service analytics, and deploying and configuring data analysis and presentation.
The role of a Power BI data analyst entails close collaboration with business stakeholders to identify specific business requirements. They work alongside enterprise data analysts and data engineers to identify and obtain relevant data. Additionally, they are responsible for transforming the acquired data, creating data models, visualising data, and sharing assets using Power BI.
To pass the exam, candidates are expected to possess proficiency in using Power Query and writing expressions through Data Analysis Expressions (DAX). These professionals should have a solid understanding of assessing data quality and be well-versed in data security principles, including row-level security and data sensitivity.
Job Roles: Power BI Analyst, Data Analyst, Business Analyst
These qualifications validate the knowledge and skills in using Tableau software for data analysis and visualization.
Tableau Data Analyst Certificate
The Tableau Data Analyst Certificate is tailored for individuals in the field of data analysis or those aspiring to become data analysts. It is also beneficial for BI analysts, Tableau developers, and analytics developers.
This course caters to beginners who will learn directly from industry experts.
There are no mandatory prerequisites for this course, it is recommended to have some prior experience with Tableau products.
On completion of the course, you will gain proficiency in the following areas:
- Establishing connections with multiple data sources.
- Preparing and organizing data through techniques like extracts, joins, and unions.
- Applying filters, sorts, and parameters to refine data analysis.
- Crafting advanced table calculations to derive meaningful insights.
- Creating, formatting, and publishing comprehensive views and interactive dashboards.
Job Roles: Data analysts, BI analysts and Tableau developers
Tableau Desktop Certified Associate
This certification is designed for individuals who have a deeper understanding of Tableau Desktop and can handle more advanced data analysis tasks. It covers topics such as calculations, data blending, advanced chart types, and dashboard creation.
Tableau Desktop Certified Professional
This certification is the highest level of Tableau certification and demonstrates mastery in using Tableau Desktop. It validates advanced skills in data preparation, complex calculations, advanced analytics, and interactive dashboard design.
Job Roles: Data analysts, BI analysts and Tableau developers
Google Cloud Certified
Google Cloud Certified - Professional Data Engineer
The Google Cloud Certified - Professional Data Engineer certification is designed to validate your skills in designing and implementing scalable and reliable data processing systems on the Google Cloud Platform (GCP). Holding this certification demonstrates that you have the knowledge and skills to design, build, operationalize, and secure data processing systems using GCP technologies.
As a Professional Data Engineer, you can work in a variety of roles that involve designing and implementing data processing solutions on GCP, including:
Job Roles: Data Engineer, Data Architect, Big Data Engineer, Data Platform Engineer, ETL Developer
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