CompTIA Data+ (Exam Included)
Course
Online
Description
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Type
Course
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Level
Beginner
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Methodology
Online
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Languages
English
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Class hours
30h
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Duration
12 Months
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Start date
Different dates available
The CompTIA Data+ course equips you with the fundamental skills and knowledge for understanding, managing, and analysing data in today's data-driven world. It's an entry-level certification ideal for:
New or aspiring data analysts: Build a strong foundation in critical concepts like data architecture, modeling, warehousing, and big data.
IT professionals with basic data experience: Enhance your skill set by delving deeper into data governance, quality, and analysis techniques.
Anyone curious about data's role in decision-making: Gain valuable insights into how data is collected, manipulated, and used to inform crucial business choices.
Facilities
Location
Start date
Start date
About this course
Key areas covered:
Data fundamentals: Explore data types, models, and sources.
Data collection and manipulation: Learn efficient data gathering and preparation techniques.
Data analysis and visualisation: Discover how to extract insights and communicate them effectively through clear visualisations.
Data governance and quality: Understand data security, ethics, and regulations.
Basic statistics and tools: Get comfortable with statistical concepts and common analysis tools.
The CompTIA Data+ course is primarily designed for two main groups:
1. Early-career data professionals:
This includes individuals who are new to data analysis or transitioning from related fields like IT or business.
It provides a strong foundation in core data concepts and prepares them for entry-level data analyst roles.
2. Professionals seeking to enhance their data skill set:
This encompasses IT professionals with some data exposure who want to deepen their knowledge and improve their data analysis capabilities.
It helps them level up their skills and potentially progress to more advanced data-related roles.
No prior experience or certification is required.
CompTIA Data+
We value your interest in the CompTIA Data+ course. To assist you in the enrolment process or address any additional questions you may have, our team will reach out to you by phone. We look forward to providing the information and support you need to embark on this valuable learning journey.
Reviews
Subjects
- Database
- Database training
- SQL
- Data analysis
- CompTIA
- Comptia data+
- Data Management
- Data Collection
- Database Design
- Data Mining
Teachers and trainers (1)
Career Smarter
Online Training Company
Course programme
Module 1: Data Concepts and Environments
- Understanding data: Types, models, sources, storage
- Exploring data architecture: Databases, schemas, warehouses
- Navigating data systems: Traditional vs. Big Data, Cloud platforms
Module 2: Data Acquisition and Manipulation
- Data collection methods: APIs, scraping, sensors, surveys
- Data cleansing and profiling: Identifying errors, standardizing formats
- Data manipulation techniques: Filtering, sorting, merging, aggregating
- Querying data: SQL basics, understanding data queries
Module 3: Data Analysis and Visualization
- Descriptive statistics: Measures of central tendency, dispersion
- Inferential statistics: Hypothesis testing, correlation analysis
- Data visualization principles: Choosing the right charts, effective presentation
- Tools for data analysis and visualization: Popular platforms, basic functionalities
Module 4: Data Governance and Quality
- Data security and privacy: Regulations, controls, best practices
- Data ethics: Bias, fairness, responsible data utilization
- Data quality management: Ensuring accuracy, completeness, consistency
- Master data management (MDM): Standardizing and governing data assets
Module 5: Basic Statistics and Tools
- Statistical concepts: Probability, distributions, sampling
- Common statistical tests: Chi-square, t-test, ANOVA
- Introduction to data analysis tools: Spreadsheets, scripting languages
- Using basic statistical functions in chosen tools
Additional information
CompTIA Data+ (Exam Included)