The Certificate in Business Intelligence Analytics is designed to provide students with a comprehensive understanding of business intelligence concepts, analytics techniques, and tools used for data-driven decision-making in organizations. This certificate program aims to equip individuals with the knowledge and skills necessary to extract valuable insights from data and generate actionable business intelligence.
Evolution of Data Science : Data Science evolved from basic statistics to a sophisticated field integrating machine learning and AI, driven by technological advancements and the exponential growth of data.
Introduction to Business Intelligence and Business Analytics: Defining analysis and analytics Covers the idea of Business Intelligence and Business Analytics, focusing on how data analysis and visualization techniques can inform and enhance business decision-making.
Introduction to Data: Learn about types of data and their characteristics.
Traditional Data Techniques: Understanding the process of making information based in traditional data. Data collection and pre-processing steps in traditional data. Real-world applications.
Big Data Techniques: Defining big data concept. Data collection and pre-processing steps in big data. Real-world applications.
Business Intelligence (BI) Techniques: Defining BI concept. Process of making information for informed decisions.
Introduction to Business Statistics: Overview of statistics in business. Importance of statistics in decision-making. Descriptive vs. inferential statistics.
Data Collection, Sampling and Population: Data sources and collection methods. Sampling techniques (simple random sampling, stratified sampling, etc.). Sampling bias and errors. Data validation and cleaning.
Descriptive Statistics Types of Data Levels of Measurement Categorical Variables – Visualization Techniques Numerical Variables – Frequency Distribution Table The Histogram Cross Table and Scatter Plot Mean, median and mode Skewness Variance Standard Deviation and Coefficient of Variation Covariance Correlation Coefficient
Inferential Statistics Fundamentals Introduction What is Distribution? The Normal Distribution The Standard Normal Distribution Central Limit Theorem Standard error Estimators and Estimates What are Confidence Intervals? Confidence Intervals; Population Variance Known; z-score. T Distribution Confidence Intervals; Population Variance Unknown; t-score Margin of Error Confidence intervals. Two means. Dependent samples
Hypothesis Testing The Null vs Alternative Hypothesis Rejection Region and Significance Level Type I Error and Type II Error Test for the Mean. Population Variance Known p-value Test for the Mean. Population Variance Unknown Test for the Mean. Dependent Samples
Introduction to Databases: Understanding the basic concepts of relational databases, including tables, records, and fields.
Database Management Systems: Overview of DBMS, its role, and importance in managing data within an organization.
Database Modeling Building Blocks : Introducing key components of database modeling, such as entities, attributes, relationships, and data types.
Relational Database Development and ERD : Learning about normalization, entity-relationship diagrams, and designing efficient database schemas.
Physical Database Development : Covering the steps involved in the physical creation of a database, including storage structures, file organization, and optimizing physical layout for performance.
Basic SQL : Become fluent in basic SQL commands including SELECT, FROM, WHERE, and corresponding logical operators. Gain an overview of what you’ll be learning and doing in the course.
SQL Joins : Combine data tables using SQL joins to answer more complex business questions.
SQL Aggregations : Aggregate data in SQL including COUNT, SUM, MIN, and MAX. Write CASE and DATE functions, as well as work with NULL values.
Indexing and Performance Tuning : Learning about indexing strategies and how to optimize query performance.
Stored Procedures and Triggers : Introduction to writing stored procedures and triggers for automated data processing.
Get Started with Data Analytics : Overview of data analysis. Roles in data. Tasks of a data analyst.
Get Started Building with Microsoft Power BI : Overview of Power BI. Power BI Working environment. Building blocks of Power BI. Installing Power BI Desktop.
Prepare data for analysis with Power BI : Data source types. Connecting to data sources. Get data from files/ relational data sources/ online services
Clean, transform, and load data in Power BI : Shape the initial data. Data structure. Evaluate and change column data types. Combine multiple tables.
Model data in Power BI : Power BI model fundamentals. Work with tables. Work with relationships and cardinality.
Write DAX formulas for Power BI Desktop models : Write DAX formulas. DAX data types. Work with DAX functions. Enforce Power BI model security.
Build Power BI visuals and reports : Explore report designs. Design the analytical report layout. Design reports with advanced filtering techniques.
Manage workspaces and datasets in Power BI : Distribute a report or dashboard. Use a Power BI gateway to connect to on-premises data sources. Configure row-level security.
Applying the acquired knowledge and skills to solve a real-world problem.
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At , Asia Pacific Institute of Business Analytics – APIBA Institute we are proud to announce that our courses are accredited by CPD UK, one of the leading independent Continuing Professional Development (CPD) accreditation institutions. Choosing a CPD-accredited course is not just about enhancing your resume; it’s about investing in your future and unlocking your full potential. Here’s why:
CPD UK accreditation means that our courses meet the highest standards of excellence and relevance. This seal of approval is recognized globally, ensuring that the skills and knowledge you gain are not only applicable but also respected across various industries. When employers see CPD UK accreditation, they know you’ve been trained to the standards that matter.
The importance of CPD cannot be overstated in today’s ever-evolving job market. Engaging in Continuous Professional Development ensures that both academic and practical qualifications do not become outdated, allowing individuals to continually ‘up skill’ or ‘re-skill’ themselves, regardless of occupation, age, or educational level. This approach to lifelong learning opens doors to new opportunities and career paths that you may never have considered.
A CPD certificate is not just a document; it’s a testament to your commitment to professional development and excellence. CPD UK certificates are highly valued by employers and professionals alike for their integrity and value. They serve as evidence of your dedication to continuous improvement and your capability to adapt and excel in your chosen field. This credibility is paramount in building a distinguished career.
In a world where the job market is more competitive than ever, having a CPD-accredited course under your belt gives you a significant advantage. It demonstrates to potential employers that you are proactive, dedicated, and equipped with the latest skills and knowledge. This can be the key factor that sets you apart from other candidates.
By enrolling in our CPD-accredited courses, you’re not just signing up for education; you’re joining a community committed to excellence and continuous growth. We don’t just prepare you for the job market; we prepare you to lead in your field. Our courses are designed with your future in mind, blending practical skills with cutting-edge theory, all underpinned by the rigorous standards of CPD UK.
Regular Course Fee: LKR. 44,500
Early bird offer: LKR. 37,800
Early bird offer valid until 2024 March 18
Next Intake Starting on : 2024.03.20 on 8.00 p.m.
3-month installment payment plan available
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Kickstart your learning experience with APIBA.
Kickstart your learning experience with APIBA.
Kickstart your learning experience with APIBA.
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All the things You Need to know about Data science We Care About Quality Content. We Never Wanted To Be A Big Publishing House: Our Team Is Small, But It’s A Truly Wonderful Team Of People Who Really Care About What They Do. Passionate And Dedicated. Honest And Respectful. Professional But Informal. Quirky And Personal. … Enhancing Career Growth: Why Data Science is Needed for IT Professionals.
All the things You Need to know about Data science We Care About Quality Content. We Never Wanted To Be A Big Publishing House: Our Team Is Small, But It’s A Truly Wonderful Team Of People Who Really Care About What They Do. Passionate And Dedicated. Honest And Respectful. Professional But Informal. Quirky And Personal. … Enhancing Career Growth: Why Data Science is Needed for Management Professionals.
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