This comprehensive CBIDA certification equips you with in-demand big data, data science, BI, and analytics skills. You’ll learn core technologies (Hadoop, Spark, Sqoop, Flume, MongoDB, HBase), and dive into Data Science with Python, R, statistics, exploratory data analysis, machine learning, and Tableau. You’ll emerge ready to transform data into strategic business decisions.
By the end of this program, you will be able to:
Gain advanced analytics proficiency, especially via Excel, for predictive business insight.
Design and deploy business intelligence systems to measure KPIs and performance bottlenecks.
Create compelling visual dashboards to highlight inefficiencies and key trends.
Monitor and manage performance metrics over time for customer retention and growth.
Conduct risk analytics and develop data-driven risk registers.
No specific technical prerequisites listed, but it’s ideal to have familiarity with data analysis concepts.
Recommended experience with Excel, Python/R, SQL, or BI tools. (General)
BIDA is recognized and accredited by Summit Consulting Ltd through IFIS
Course aligns with global standards in data analytics and business intelligence
Practical focus: All modules include real-world case studies, labs, and project-based learning
Graduates become part of a professional network of Certified Business Analysts and decision-makers
Adds credibility and hands-on expertise to your professional profile
Flexible Class Schedules
The CBIDA certification offers flexible class schedules to accommodate various professional needs:
Monday to Friday, full-day sessions from 9:00 am to 5:00 pm.
One month, held on Tuesdays, Wednesdays, and Thursdays from 6:00 pm to 8:30 pm.
One month, Saturdays only, full-day sessions from 9:00 am to 5:00 pm.
Includes study materials and access to an online learning portal for a fee of $1,050
Module 1: Foundations of Big Data Analytics
Topics:
Principles of data-driven decision-making in business
Formulating analytical business questions
Data collection, cleaning, and aggregation across varied sources
Exploring data flaws and preparation essentials
Planning analytics strategy for business impact
Tech focus: MS Excel fundamentals, data understanding, visualization essentials, analytics tool overview
Module 2: Core Business Intelligence Concepts
Topics:
BI fundamentals and role within data-driven enterprises
Data sources (structured vs unstructured)
Introduction to ETL pipelines & KPI analytics
Early exposure to BI tools and a dashboard
Module 3: Big Data Technologies & NoSQL
Topics:
Overview of Hadoop ecosystem (HDFS, MapReduce)
Spark fundamentals for large-scale processing
Data ingestion with Sqoop and Flume
NoSQL databases: MongoDB & HBase basics
Hands-on: Learn how these platforms handle volume, velocity, and variety in enterprise environments
Module 4: Programming & Statistical Tools for Analytics
Topics:
Python & R for data science
Statistical analysis: distributions, hypothesis testing, regression
Exploratory Data Analysis (EDA) using Pandas, NumPy, and Matplotlib
Machine learning concepts: from linear models to decision trees
Goal: Build predictive insights from big datasets
Module 5: Advanced BI & Data Visualization
Topics:
Data visualization principles and storytelling
Dashboard design using Tableau (and Power BI)
Constructing interactive visual analytics to uncover inefficiencies and insights
Module 6: Performance & Risk Analytics
Topics:
Tracking KPIs over time, not just snapshots
Marketing & sales performance optimization
Risk analytics: quantifying uncertainty, risk registers, and optimization models
Module 7: Capstone & Strategic Leadership
Integration:
Synthesize all prior modules: big data tools + programming + BI + risk/performance
Executive-level analytics insights
Emphasis on eliminating “HIPPO” biases (Highest Paid Person’s Opinion) through data
Collaborative, peer engagement within a CBIDA professional community
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