Business Intelligence Analyst And Data Science Training Course

INTRODUCTION

Business Intelligence (BI) and Data Science is essential for driving organizational success and individual career growth. This specialized training course offers a powerful combination of analytical tools and data science skills developed to help you identify, explore, and solve complex business challenges. Through hands-on learning, participants will discover how to harness sustainability-oriented innovation and apply real-world case studies to transform their organizations. By embracing cutting-edge methodologies such as systems thinking, multi-level perspectives, and multidisciplinary approaches, this course empowers professionals to make informed, data-driven decisions that align with their strategic objectives. This course emphasizes the development of critical skills in teamwork, stakeholder collaboration, and responsible decision-making, equipping participants with the knowledge to excel in the fast-paced world of BI and data analytics. Whether you're looking to advance your career, enhance your resume, or gain a competitive edge in the marketplace, this Business Intelligence and Data Science training will provide the practical insights and technical proficiency necessary to stay ahead of industry trends.

COURSE HIGHLIGHTS

• Real-World Applications: Engage with practical examples in business intelligence and data science, applying them directly to your organizational challenges.
• Data Visualization: Master the art of creating impactful visual reports, transforming complex data into actionable insights.
• Practical Exercises: Participate in hands-on exercises to solidify your understanding and application of BI and data science techniques.
• Comprehensive Support: Gain access to extensive course notes, materials, and ongoing support to maximize your learning experience.
• Empowerment: Develop the ability to independently analyze data and make strategic decisions that enhance business operations.

HOW YOU BENEFIT

Upon completing this Business Intelligence Analyst and Data Science course, participants will be able to:

• Data Mastery: Efficiently gather, organize, analyze, and visualize data to uncover meaningful insights.
• Informed Decision-Making: Leverage data to drive enhanced decision-making processes within your organization.
• Metrics and Dashboards: Develop and utilize metrics, reports, dashboards, and KPIs to monitor and optimize performance.
• Comprehensive Analysis: Conduct both quantitative and qualitative business analysis to inform strategy.
• Trend Analysis: Analyze current and historical data to identify trends, understand market conditions, and perform competitor analysis.
• Data Fundamentals: Grasp the foundational concepts that underpin data science, ensuring a deep understanding of its applications.
• Practical Solutions: Solve real-world business challenges using practical, data-driven solutions.

WHO SHOULD ATTEND

This Business Intelligence and Data Science course is ideal for:

• Beginners: Individuals new to programming and data science who are eager to learn foundational skills.
• Career Enthusiasts: Those looking to pursue a career in business intelligence or data science.
• Resume Boosters: Professionals aiming to enhance their resumes by applying BI and data science knowledge to real-world issues.
• Programmers: Developers interested in integrating business reasoning into their problem-solving toolkit.
• Career Pursuers: Anyone seeking a career in Business Intelligence Analysis or Data Science.

DURATION

10 Days

COURSE CONTENT

Module 1: Basics of Insight Generation

• Understanding the data analytics landscape
• The data value chain and its importance
• Tools and techniques for generating insights
• Business intelligence and data mining fundamentals

Module 2: The Different Data Science Fields

• Differentiating analysis and analytics
• Exploring key data science terminologies and concepts
• Introduction to Business Analytics, Data Analytics, Data Science, BI, ML, and AI
• Comparative analysis of BI, ML, and AI

Module 3: Introduction to Data and Data Science

• Defining data science and its purpose
• Historical development of data science
• The necessity of data science in modern organizations

Module 4: Common Data Science Techniques

• Traditional data techniques and their applications
• Big data techniques and real-life examples
• Business Intelligence techniques and their role in decision-making
• Machine Learning techniques, types, and examples

Module 5: Common Data Science Tools

• Overview of essential tools for BI and data science
• Key roles and responsibilities in data science jobs
• Dispelling common misconceptions in data science
• Understanding population vs. sample data

Module 6: Basic Statistics: Foundations of Quantitative Insights

• Introduction to basic statistical concepts
• Types of variables and their significance
• Measures of central tendency and dispersion

Module 7: The Normal Distribution and Histograms

• Understanding normal distribution and its applications
• The empirical rule in data analysis
• Exploring covariance and correlation

Module 8: Data Visualization

• The importance of data visualization in BI
• Cleaning and preparing data using Tableau
• Creating bar charts, heat maps, and other visualizations

Module 9: Advanced Charts and Dashboards

• Techniques for advanced data visualization
• Generating insights from social media data
• Designing and utilizing dashboards effectively

Module 10: Demand Forecasting

• Introduction to regression analysis
• Techniques for demand forecasting and smoothing
• Applying forecasting methods to business scenarios

GENERAL NOTES

• This course is delivered by seasoned trainers with extensive professional experience in the respective fields.
• Training includes a mix of practical activities, theoretical knowledge, group work, and case studies.
• Participants receive comprehensive training manuals and additional reference materials.
• A certificate is awarded upon successful course completion.
• Custom-tailored courses to meet specific organizational needs are available. Contact us at training@skillsforafrica.org for more information.
• The training will be conducted at the Skills for Africa Training Institute in Nairobi, Kenya.
• The training fee covers tuition, materials, lunch, and the training venue. Accommodation and airport transfer can be arranged upon request.
• Payment should be made to our bank account before the training starts, and proof of payment sent to: training@skillsforafrica.org.