Data Associates Training Logo

Data Associates Training

Live Online & Classroom Enterprise Training

Gain foundational knowledge in data handling, analysis, and visualization to support data-driven decision-making across business functions.

Looking for a private batch ?

REQUEST A CALLBACK

Need help finding the right training?

Your Message

  • Enterprise Reporting

  • Lifetime Access

  • CloudLabs

  • 24x7 Support

  • Real-time code analysis and feedback

What is Data Associates Training about?

The Data Associates course provides learners with essential skills in data collection, cleaning, analysis, and reporting. It introduces fundamental concepts of databases, data visualization, and data governance, helping participants build confidence in working with structured and unstructured data. This program bridges the gap between business users and data specialists by equipping learners with practical knowledge of tools like Excel, Power BI, and SQL for effective data interpretation and communication.

What are the objectives of Data Associates Training ?

  • Understand core data concepts, types, and structures.
  • Perform basic data analysis using spreadsheets and visualization tools.
  • Apply data cleaning and transformation techniques.
  • Interpret data insights to support business decisions.
  • Understand data governance, quality, and security fundamentals.

Who is Data Associates Training for?

  • Entry-level professionals beginning their data journey.
  • Business analysts and reporting specialists.
  • Team leads seeking data literacy for informed decisions.
  • Students aspiring to enter the data and analytics field.
  • Professionals transitioning from non-technical roles into data functions.

What are the prerequisites for Data Associates Training?

Prerequisites:

  • Basic computer literacy and analytical mindset.
  • Familiarity with Microsoft Excel or Google Sheets.
  • General understanding of business processes.
  • Willingness to learn data tools and visualization platforms.
  • No prior programming experience required.

Learning Path:

  • Introduction to Data Concepts and Types
  • Data Collection, Cleaning, and Preparation
  • Basics of Data Analysis and Visualization
  • Introduction to Databases and SQL
  • Data Reporting, Storytelling, and Governance

Related Courses:

  • Data Analytics Basics for Everyone
  • Excel for Data Analysis
  • Power BI Essentials
  • Introduction to SQL

Available Training Modes

Live Online Training

2 Days

Course Outline Expand All

Expand All

  • Introduction to Data Science
  • Data Science Lifecycle and Key Processes
  • Role of Data Scientists and Data Analysts
  • Applications of Data Science in Various Industries
  • Ethical Considerations and Data Governance
  • Descriptive Statistics: Mean, Median, Mode, Variance
  • Probability Concepts and Distributions
  • Inferential Statistics: Sampling and Hypothesis Testing
  • Correlation, Regression, and Data Relationships
  • Visualization of Statistical Data
  • Understanding Structured vs Unstructured Data
  • Data Integration Techniques and ETL Processes
  • Handling Missing and Inconsistent Data
  • Working with APIs and External Data Feeds
  • Data Quality Assurance and Validation
  • Overview of Data Analytics Tools (Excel, Python, R)
  • Using Jupyter Notebooks and IDEs
  • Data Visualization Tools (Tableau, Power BI)
  • Databases and Querying with SQL
  • Introduction to Big Data Tools (Hadoop, Spark)
  • Data Cleaning and Preprocessing Techniques
  • Exploratory Data Analysis (EDA)
  • Building Basic Predictive Models
  • Feature Engineering and Data Transformation
  • Reporting and Communicating Data Insights
  • Numerical, Categorical, and Ordinal Data
  • Time Series and Textual Data
  • Data Encoding and Normalization Techniques
  • Understanding Data Formats (CSV, JSON, XML)
  • Selecting Appropriate Data Types for Analysis
  • Understanding Project Goals and Deliverables
  • Time and Task Management for Analysts
  • Prioritization and Scheduling Techniques
  • Quality Control and Documentation Standards
  • Continuous Improvement and Feedback Loops
  • Communication Skills for Data Teams
  • Collaborative Tools and Platforms
  • Roles and Responsibilities in Data Projects
  • Conflict Resolution and Team Dynamics
  • Building a Data-Driven Culture
  • Health and Safety Responsibilities in Workplaces
  • Ergonomics and Digital Wellbeing for Data Professionals
  • Identifying and Managing Workplace Risks
  • Emergency Procedures and Reporting
  • Promoting a Safe and Supportive Environment
  • Data Privacy, Security, and Compliance
  • Version Control and Backup Practices
  • Access Control and Data Permissions
  • Documenting and Archiving Data Projects
  • Managing Data Throughout Its Lifecycle
  • Principles of Diversity and Inclusion
  • Ethical Use of Data and Fair Representation
  • Environmentally Sustainable IT Practices
  • Corporate Social Responsibility in Data Projects
  • Promoting Equality, Accessibility, and Green Workspaces

Who is the instructor for this training?

The trainer for this Data Associates Training has extensive experience in this domain, including years of experience training & mentoring professionals.

Reviews