Data Practitioner Training

Live Online & Classroom Enterprise Training

Data Practitioner: Build essential skills to analyze, visualize, and interpret data for informed business decision-making.

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What is Data Practitioner Course about?

The Data Practitioner course is designed to build foundational to intermediate skills in data literacy, analysis, visualization, and interpretation. It enables professionals to confidently work with data in their day-to-day roles, regardless of domain or function. Learners will gain hands-on experience in collecting, cleaning, analyzing, and visualizing data using tools such as Excel, SQL, and Power BI (or similar), and will learn how to draw actionable business insights from data-driven decisions.

What are the objectives of Data Practitioner Course ?

Understand key data concepts (types, formats, and structures)
Perform basic data cleaning and preparation
Analyze trends and patterns in datasets using Excel and SQL
Create impactful data visualizations
Apply data thinking in business decision-making
Communicate insights clearly using charts and storytelling
Collaborate with analysts, data teams, and stakeholders effectively

Who is Data Practitioner Course for?

Business professionals, operations staff, HR, finance, and marketing teams
Non-technical users who need to work with data regularly
Project managers and team leads
Anyone transitioning to data-informed roles or aiming to build data confidence

What are the prerequisites for Data Practitioner Course?

Basic digital literacy (working knowledge of Excel or spreadsheets)
No prior coding or data analytics experience required

Available Training Modes

Live Online Training

Course Outline Expand All

Expand All

Module 1: Introduction to Data Thinking

Why data matters in every role

Types of data: structured, unstructured, categorical, numerical

Data-driven vs. intuition-driven decision-making

Module 2: Working with Data in Excel

Importing and formatting datasets

Filtering, sorting, and pivot tables

Using basic formulas for calculations and summaries

Module 3: Introduction to SQL for Data Access

Understanding databases and tables

Writing simple SQL queries (SELECT, WHERE, JOIN)

Exporting and interpreting results

Module 4: Data Cleaning and Preparation

Identifying missing, duplicate, and inconsistent data

Normalization and standardization

Preparing data for analysis

Module 5: Data Analysis Techniques

Descriptive statistics (mean, median, mode, variance)

Trend analysis and KPI tracking

Visual summary using charts and graphs

Module 6: Data Visualization and Storytelling

Choosing the right visual for the right data

Designing dashboards and reports

Basics of Power BI (or equivalent visualization tool)

Module 7: Interpreting and Presenting Insights

Telling a story with data

Avoiding bias and misrepresentation

Preparing data-driven presentations for stakeholders

Module 8: Capstone & Practical Assessment

Hands-on mini-project: Analyze and present a dataset

Peer feedback and instructor evaluation

Certification guidance

Who is the instructor for this training?

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

Reviews

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Sony

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Mindtree