Course Overview
Learning
of Data:
Data Management: Focuses on organizing, storing,
and utilizing data efficiently throughout its lifecycle, ensuring data is
accurate, secure, and easily accessible for decision-making. Data Governance:
Establishes rules, policies, and processes for managing data assets to ensure
data quality, integrity, security, and compliance with regulations. Data
Architecture: Defines the structure, components, and relationships of data
within an organization, including data models, schemas, and data flow to
support business operations. Data Security and Privacy: Involves protecting
data from unauthorized access and breaches, as well as ensuring compliance with
privacy regulations to safeguard sensitive information. Data Integration and
Interoperability: Focuses on combining data from different sources, formats,
and systems to provide a unified view, enabling seamless data exchange and
sharing. Reference and Master Data: Identifies and manages key data entities
that serve as reference points for ensuring data consistency, accuracy, and
integrity across the organization. Data Warehousing and Business Intelligence:
Involves storing and analysing data to support decision-making processes, using
data warehouses and BI tools to generate insights for strategic planning.
Metadata Management: Deals with organizing and managing data about data,
including metadata types, structures, and standards to provide context and
enhance data understanding. Data Quality: Focuses on assessing, improving, and maintaining
data quality to ensure data accuracy, completeness, consistency, and validity
for effective decision-making. Big Data and Data Science: Encompasses handling
large volumes of data to derive insights, patterns, and trends using advanced
analytics, machine learning algorithms, and data science techniques for
informed decision-making. These conceptual explanations aim to provide a
foundational understanding of each topic without delving into specific tools,
technologies, or practical implementations.
What you will learn
1.
Data Management
2.
Data Governance
3.
Data Architecture
4.
Data Security and Privacy
5.
Data Integration and Interoperability
6.
Reference and Master Data
7.
Data Warehousing and Business
Intelligence
8.
Metadata Management
9.
Data Quality
10.
Data Science
Pre-requisite requirements
- No education & age limit.
- No basic knowledge of computer
- No Laptop or Internet connection
required
- Patience, Patience
& Patience
- Attention
- Punctuality
- Devotion& Determination
- Learning Attitude
- Control on emotions
- Non Impetuous
Skills you'll gain
- Conceptual understanding of all data
pillars
- Enough know to pass job interview in a data role
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share
it on social media and in your performance review.
Course Curriculum
Develop
a ground understanding of the Data field as you follow your learning path through
the weekly modules of this online program.
Why choose
this course?
This
course delivers career-relevant, fully supported, and expert-led online courses.