OVERVIEW – DATA MANAGEMENT & ANALYTICS TRAINING IN ABUJA

The Data Management & Analytics Training at Neo Cloud Training Institute provides students with comprehensive knowledge and practical skills in handling, analyzing, and deriving insights from data. This program emphasizes the data lifecycle, data collection methods, data quality management, governance, and advanced analytics techniques. Students learn the essential components of data management and analytics, including SQL and NoSQL databases, data cleaning and preprocessing, data visualization, and predictive analytics, preparing them for diverse roles in data management and analysis.

With data as a core asset for decision-making in modern businesses, this training covers foundational concepts and equips participants with hands-on experience using industry-standard tools. Participants will gain proficiency in data analysis using Excel, Python, and visualization tools, allowing them to generate valuable insights from various datasets. The course culminates in a capstone project where students apply their skills to a real-world dataset, bridging theory and practice.

OBJECTIVE OF THE COURSE
The primary goal of this program is to enable participants to build solid expertise in data management and analytics, fostering skills necessary for effective data handling and insightful analysis. Specific objectives include:

– Teaching core concepts in data management, collection, storage, and governance to ensure high-quality, ethical data practices
– Providing hands-on experience with data storage, querying, and cleaning techniques to enhance data usability
– Equipping students with data analysis and visualization skills using Excel, Python, and Tableau for actionable insights
– Introducing students to statistical analysis, machine learning basics, and big data tools to expand analytical capabilities
– Preparing students for roles in data analysis, management, and business intelligence through practical labs and project work

LEARNING OUTCOME
By the end of this course, students will be able to:

– Understand and apply data management principles to collect, store, and clean data effectively
– Conduct exploratory data analysis, apply statistical methods, and make data-driven insights
– Use Excel and Python for data analysis and Tableau for data visualization to present findings effectively
– Perform predictive analytics and build basic machine-learning models for informed decision-making
– Understand big data concepts and cloud analytics tools for processing large datasets

WHO NEEDS THIS COURSE?
This course is designed for data enthusiasts, analysts, IT professionals, business intelligence specialists, and anyone aiming to develop data management and analytics expertise.

DURATION/COST
Duration: 3 months
Total Classes: 48
Total Hours: 108
Schedule: 3 days per week

DETAILED COURSE CONTENT
The Data Management & Analytics training program offers a balance of theoretical knowledge and hands-on practice, providing students with the skills needed to thrive in data management and analytics roles. Below are the various topics that will be covered: