DATA ANALYST & BUSINESS INTELLIGENCE TRAINING IN CAMEROON
PROFESSION
Immerse yourself in the captivating world of Data Analyst and Business Intelligence, where a passionate professional excels in in-depth data analysis. Imagine him unveiling the mysteries behind the numbers and creating compelling stories from the insights gained. With cutting-edge technical expertise and boundless creativity, this professional guides companies in making informed strategic decisions, transforming data into concrete and tangible results.
This data analysis enthusiast combines insatiable curiosity, solid technical skills and a keen sense of innovation to shape the future of business in the data age. He explores the intricacies of digital information, uncovers hidden trends and unsuspected opportunities, and transforms these insights into powerful stories that inspire action. Join this fascinating adventure and discover the power of data analytics and business intelligence to shape a prosperous future, where decisions are informed by deep insights, and businesses can thrive thanks to a deep understanding of their data.
Your success starts here. Our training will provide you with the knowledge, skills and confidence to excel in an ever-changing world.
- OBJECTIVES
- ZUnderstand the fundamental concepts of data analysis and Business Intelligence.
- ZAcquire the skills needed to collect, pre-process and cleanse data.
- ZMaster advanced database management and SQL query techniques.
- ZLearn the principles of data warehousing and dimensional modeling.
- ZDevelop skills in data visualization and creation of interactive reports.
- ZAcquire in-depth knowledge of statistical analysis for businesses.
- ZExplore advanced data analysis techniques, including predictive analytics.
- ZUse Python for data manipulation, exploration and analysis.
- ZUse R for data manipulation, exploration and analysis.
- ZUnderstand Business Intelligence implementation strategies and methodologies.
- ZApply data governance and privacy principles in data analysis.
- OUTLETS
- PData Analyst
- PBusiness Intelligence Analyst
- PData Scientist
- PFinancial Analyst
- PBusiness Intelligence Consultant
- PMarket analyst
- PData management manager
- PData Analytics Entrepreneur
- COURSE CONTENT
- PUNIT 10: Introduction to Data Analysis and Business Intelligence
- ECourse 1: Introduction to Data Analysis and Business Intelligence Concepts
- ECourse 2: Overview of Data Analysis Tools and Techniques
- ECourse 3: Introduction to Data Visualization and Reporting
- PUNIT 20 : Data handling and cleansing
- ECourse 1: Data collection and pre-processing techniques
- ECourse 2: Data cleaning and validation methods
- ECourse 3: Exploratory Data Analysis and Descriptive Statistics
- PUNIT 21: Database management
- ECourse 1: Database Modeling with UML
- ECourse 2: Querying databases with the SQL language
- ECourse 3: Administering a NoSQL Database
- PUNIT 22: Data Warehousing and Dimensional Modeling
- ECourse 1: Understanding Data Warehousing Concepts
- ECourse 2: Dimensional Modeling and Star Schema Design
- ECourse 3: Extract, Transform, and Load (ETL) Process
- PUNIT 23: Data Visualization and Reporting
- ECourse 1: Principles of Effective Data Visualization
- ECourse 2: Introduction to data visualization tools (e.g. Tableau, Power BI)
- ECourse 3: Creating Interactive Dashboards and Reports
- PUNIT 24: Statistical analysis for companies
- ECourse 1: Probability theory and statistical distributions
- ECourse 2: Hypothesis testing and confidence intervals
- ECourse 3: Regression Analysis and Forecasting Techniques
- PUNIT 25: Data analysis with Python
- ECourse 1: Introduction to Python for Data Analysis
- ECourse 2: Data manipulation with the Pandas and NumPy libraries
- ECourse 3: Data exploration and visualization with Matplotlib and Seaborn
- PUNIT 26: Data analysis with R
- ECourse 1: Introduction to R for Data Analysis
- ECourse 2: Data manipulation with the dplyr and tidyr packages
- ECourse 3: Data visualization with ggplot2
- PUNIT 27: Strategy and implementation of Business Intelligence
- ECourse 1: Developing a Business Intelligence Strategy
- ECourse 2: Key Performance Indicators (KPIs) and Metrics
- ECourse 3: Implementing Business Intelligence Solutions
- PUNIT 28: Data governance and ethics
- ECourse 1: Data Governance Frameworks and Best Practices
- ECourse 2: Confidentiality and Ethical Considerations in Data Analysis
- ECourse 3: Compliance with data protection regulations
- PUNIT 29: Professional project and defense
- INFORMATIONS & REGISTRATION
- cTraining period: 8 months + 3 months internship
- cCost of training:
- 350 000 FCFA (payable in instalments)
- cTraining schedule: Day & Evening Sessions
- cDiplomas obtained: Certificate of Professional Qualification (CPQ) and Attestation of Professional Qualification (APQ)
- cLevel required: A/L all series
- cReopening: Monday, January 6, 2025
- NB: Practical and operational training, the examples treated during the training are drawn from professional cases.
- 10 REASONS TO TRAIN AT HIGH TECH
- lCenter Accredited by MINEFOP - Ministry of Employment and Vocational Training
- lQualified and experienced trainers in the digital field
- lCutting-edge training programs tailored to business needs
- lA teaching method based on practice, innovation and project-based learning
- lState-of-the-art equipment and technological tools to facilitate learning
- lState-recognized diplomas and certificates attesting to skills acquired
- lInternship or work opportunities allowing you to develop concrete professional experience
- lPersonal follow-up and support for each learner throughout their training
- lUnlimited broadband Internet access, and access to the Center's Cloud services
- l 8 years' experience in training ICT professionals
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Voulez-vous booster votre carrière professionnelle ? Ou bien voulez-vous intégrer l’univers IT pour devenir pro des TIC ? Avez-vous besoin d’une formation en ligne ? HIGH TECH VTC est la solution.
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Vous avez besoin d’un service informatique fiable ? Notre département service est spécialisé dans la Data Governance, la Business Intelligence, l’intégration de solutions ERP, le Développement d’Apps…