IBM
IBM Business Intelligence (BI) Analyst Certificat Professionnel
IBM

IBM Business Intelligence (BI) Analyst Certificat Professionnel

Launch your career in Business Intelligence. Gain the in-demand skills and hands-on experience to get job-ready in less than 4 months. No prior experience required.

IBM Skills Network Team
Dr. Pooja
Shubhra Das

Instructeurs : IBM Skills Network Team

Inclus avec Coursera Plus

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Obtenez une qualification professionnelle qui traduit votre expertise
4.7

(922 avis)

niveau Débutant

Expérience recommandée

4 mois à raison de 10 heures par semaine
Planning flexible
Obtenir une qualification professionnelle
Partagez votre expertise avec les employeurs
Obtenez une qualification professionnelle qui traduit votre expertise
4.7

(922 avis)

niveau Débutant

Expérience recommandée

4 mois à raison de 10 heures par semaine
Planning flexible
Obtenir une qualification professionnelle
Partagez votre expertise avec les employeurs

Ce que vous apprendrez

  • Build skills in SQL queries, relational databases, data gathering and cleaning, data warehousing, data analysis and reporting techniques.

  • Apply statistical analysis methods to identify trends, create visualizations, and build dashboards using Tableau, Excel, Cognos, and Looker.

  • Generate valuable insights through data warehousing, profiling, and evaluation, leading to informed decision-making and process improvement.

  • Utilize BI analytics to consult with stakeholders, define goals, implement strategies, and develop effective projects for a rewarding career in BI.

Vue d'ensemble

Ce qui est inclus

Certificat partageable

Ajouter à votre profil LinkedIn

Enseigné en Anglais
Récemment mis à jour !

octobre 2025

126 exercices pratiques

Certificat professionnel - série de 11 cours

Ce que vous apprendrez

  • Explain the concept of business intelligence (BI), the key components and challenges involved, and the career options in this field.

  • Describe data analytics and its significance in BI, recognizing its role in extracting insights from data.

  • Evaluate different business intelligence tools and technologies used to analyze the business context and requirements of a BI project.

  • Develop actionable insights using appropriate tools and techniques for data gathering, wrangling, analyzing, mining, visualizing, and reporting.

Compétences que vous acquerrez

Business Intelligence, Data Mining, Key Performance Indicators (KPIs), Data Wrangling, Data Transformation, Data Collection, Data Warehousing, Data Visualization Software, Data Analysis, Data Visualization, Data-Driven Decision-Making, Business Analytics, Statistical Visualization, Extract, Transform, Load et Data Management

Ce que vous apprendrez

  • Display working knowledge of Excel for Data Analysis.

  • Perform basic spreadsheet tasks including navigation, data entry, and using formulas.

  • Employ data quality techniques to import and clean data in Excel.

  • Analyze data in spreadsheets by using filter, sort, look-up functions, as well as pivot tables.

Compétences que vous acquerrez

Microsoft Excel, Data Manipulation, Data Quality, Excel Formulas, Data Import/Export, Pivot Tables And Charts, Data Cleansing, Spreadsheet Software, Data Analysis, Data Science, Information Privacy, Data Wrangling, Data Integrity et Google Sheets

Ce que vous apprendrez

  • Create basic visualizations such as line graphs, bar graphs, and pie charts using Excel spreadsheets.

  • Explain the important role charts play in telling a data-driven story. 

  • Construct advanced charts and visualizations such as Treemaps, Sparklines, Histogram, Scatter Plots, and Filled Map Charts.

  • Build and share interactive dashboards using Excel and Cognos Analytics.

Compétences que vous acquerrez

Microsoft Excel, Pivot Tables And Charts, Tree Maps, Histogram, Data Visualization, IBM Cognos Analytics, Dashboard, Data Visualization Software, Data Storytelling, Data Analysis et Scatter Plots

Ce que vous apprendrez

  • Describe data, databases, relational databases, and cloud databases.

  • Describe information and data models, relational databases, and relational model concepts (including schemas and tables). 

  • Explain an Entity Relationship Diagram and design a relational database for a specific use case.

  • Develop a working knowledge of popular DBMSes including MySQL, PostgreSQL, and IBM DB2

Compétences que vous acquerrez

Relational Databases, Database Design, SQL, PostgreSQL, MySQL, Database Architecture and Administration, Data Manipulation, Databases, Data Management, Data Modeling, Database Management Systems, Command-Line Interface, Data Integrity et IBM DB2

Ce que vous apprendrez

  • Analyze data within a database using SQL.

  • Create a relational database on Cloud and work with tables.

  • Write SQL statements including SELECT, INSERT, UPDATE, and DELETE.

  • Build more powerful queries with advanced SQL techniques like views, transactions, stored procedures and joins.

Compétences que vous acquerrez

SQL, Stored Procedure, Transaction Processing, Data Analysis, Data Manipulation, Relational Databases, Query Languages, Microsoft SQL Servers, MySQL, Database Management, Databases, Database Systems et IBM DB2

Ce que vous apprendrez

  • Job-ready data warehousing skills in just 6 weeks, supported by practical experience and an IBM credential.

  • Design and populate a data warehouse, and model and query data using CUBE, ROLLUP, and materialized views.

  • Identify popular data analytics and business intelligence tools and vendors and create data visualizations using IBM Cognos Analytics.

  • How to design and load data into a data warehouse, write aggregation queries, create materialized query tables, and create an analytics dashboard.

Compétences que vous acquerrez

Data Warehousing, Data Lakes, Star Schema, Snowflake Schema, Data Mart, IBM DB2, Database Systems, Extract, Transform, Load, Query Languages, PostgreSQL, Data Architecture, Data Modeling, Database Design, Data Quality, Data Validation, Data Integration, SQL et Data Cleansing

Ce que vous apprendrez

  • Describe the fundamental concepts of statistics and apply them to business and data analytics settings.

  • Apply data collection, analysis, and interpretation techniques to derive actionable insights for making informed business decisions.

  • Apply descriptive and inferential analysis methods to derive insights and actionable recommendations from data.

  • Apply hypothesis testing, regression analysis, and forecasting to support business decision-making processes.

Compétences que vous acquerrez

Statistical Analysis, Regression Analysis, Probability Distribution, Forecasting, Descriptive Statistics, Data Analysis, Probability, Data Visualization, Predictive Analytics, Business Analytics, Statistical Methods, Spreadsheet Software, Microsoft Excel et Statistics

Ce que vous apprendrez

  • Understand Tableau's fundamental concepts, significance in data visualization, diverse product range and key features crucial for data professionals.

  • Analyze and evaluate the capabilities of Tableau Public as a powerful Business Intelligence (BI) tool for data visualization and analysis.

  • Implement relationships between data tables, use Tableau calculations for analytics, empower user interaction, and apply filters and highlighting.

  • Develop expertise in Tableau dashboard design principles, organize visual elements effectively, and apply best practices for interactive dashboards.

Compétences que vous acquerrez

Tableau Software, Data Visualization Software, Data Storytelling, Dashboard, Data Manipulation, Data Import/Export, Interactive Data Visualization, Data Visualization, Data Analysis, Data Cleansing, Data Presentation et Real Time Data

Ce que vous apprendrez

  • Apply advanced techniques to create interactive and dynamic visualizations in Tableau, demonstrating high proficiency in data presentation

  • Create interactive dashboards in Tableau, incorporating navigation, links between story points, and advanced features such as actions and tooltips

  • Demonstrate a comprehensive understanding of Tableau's capabilities and features such as advanced formatting, dashboard design and web objects

  • Effectively use Tableau’s features to deliver insightful dashboards and stories for data exploration and monitoring

Compétences que vous acquerrez

Tableau Software, Interactive Data Visualization, Performance Tuning, Data Storytelling, Data Integration, Dashboard, Data Presentation, Data Visualization Software, Data Modeling, Data Analysis Expressions (DAX), Data Access, Data Sharing, Data Visualization, Data Analysis, Transact-SQL et Advanced Analytics

Ce que vous apprendrez

  • Apply data analysis techniques to derive meaningful insights and uncover patterns in the data.

  • Use the knowledge and skills acquired throughout the program to design and execute a practical BI project.

  • Present and showcase the BI project outcomes, highlighting its impact on decision-making and business performance.

  • Demonstrate proficiency in using BI tools and technologies, such as data visualization tools and database management systems.

Compétences que vous acquerrez

SQL, Tableau Software, Microsoft Excel, PostgreSQL, Data Cleansing, Pivot Tables And Charts, Statistical Analysis, Regression Analysis, Data Visualization Software, Business Intelligence, Data Analysis, Data Quality, Data Manipulation, Data Visualization, Microsoft PowerPoint, IBM Cognos Analytics, LinkedIn, Dashboard, Presentations et Looker (Software)

Ce que vous apprendrez

  • Explain the role of generative AI in every stage of the BI lifecycle.

  • Use generative AI to improve data handling and analysis in BI.

  • Leverage generative AI-powered tools for enhanced data visualization and reporting in BI.

  • Discuss ethical considerations and challenges in implementing generative AI in BI.

Compétences que vous acquerrez

Generative AI, Business Intelligence, SQL, Natural Language Processing, Interactive Data Visualization, Data Visualization Software, Dashboard, Infographics, Data Presentation, Data Visualization, Data Storytelling, Artificial Intelligence, Business Ethics, Large Language Modeling et Data Analysis

Obtenez un certificat professionnel

Ajoutez ce titre à votre profil LinkedIn, à votre curriculum vitae ou à votre CV. Partagez-le sur les médias sociaux et dans votre évaluation des performances.

Instructeurs

IBM Skills Network Team
84 Cours1 574 801 apprenants
Dr. Pooja
IBM
4 Cours367 981 apprenants
Shubhra Das
SkillUp
7 Cours50 717 apprenants
SkillUp
SkillUp
107 Cours325 719 apprenants
Murtaza Haider
IBM
3 Cours52 910 apprenants
Rav Ahuja
IBM
56 Cours4 382 472 apprenants
Sandip Saha Joy
IBM
5 Cours651 295 apprenants
Steve Ryan
IBM
12 Cours727 458 apprenants
Kevin McFaul
IBM
2 Cours214 722 apprenants
Ramesh Sannareddy
IBM
15 Cours451 921 apprenants

Offert par

IBM
SkillUp

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¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (10/1/2024 - 10/1/2025)