Data Analyst Training Program Overview

From Data Fundamentals to Advanced Analytics Techniques

The Data Analyst Certification Training offered by iCert Global is a comprehensive Data analyst training program purpose-built for new graduates and professionals who are looking to establish an exciting career in the field of data analytics. In the current data-driven economy, businesses across all industries are seeking analysts who are able to collect and interpret, clean and present data in order to aid in making better business decision-making. This course will take you from basic data concepts to advanced analytics methods including Microsoft Excel, SQL, Python, Power BI, and Tableau via live instructor-led workshops as well as capstone projects and real-world cases. The course will provide you with a certification, portfolio of projects, and experience to be able to assume the role of a data analyst right from the beginning. If you're a business professional who is looking to upgrade your skills or a recent graduate preparing to enter the market for jobs in analytics or a developer who is transitioning to a role in data, this Data analyst training program is designed to provide tangible career results that go beyond theoretic knowledge.

Why Get Data Analyst Certified?

The Credential That Ends the Gatekeeping

Make an Impression on Hiring Managers

Overcome hundreds of applicants and pass the initial screening process to be considered for Data Analyst, Reporting Analyst, and Business Analyst roles with a certification that immediately validates your skills.

Get a Higher Starting Salary

Demonstrate your expertise in industry-standard tools and proven methodologies to prospective employers, helping you negotiate a stronger starting salary from your very first data analyst role.

Future-Proof Your Career

As organizations become increasingly data-driven, the Data Analyst certification helps ensure your skills remain relevant, current, and aligned with evolving industry demands.

Data Analyst Training Course Highlights

More Than a Course—It's Your Career Accelerator

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Live Instructor-Led Sessions

Learn directly from industry-certified data professionals with extensive experience in analytics, business intelligence, and data-driven decision-making.

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Hands-On Projects

Work on 15+ real-world datasets across industries such as finance, retail, healthcare, and e-commerce to gain practical analytics experience.

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Tool-First Curriculum

Master the most in-demand data analytics tools, including SQL, Python, Excel, Power BI, and Tableau, through guided exercises and projects.

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Industry-Recognized Certificate

Earn the iCert Global Data Analyst Certificate upon successful completion of the program and showcase your job-ready analytics skills.

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Lifetime Access to Learning Resources

Revisit session recordings, course notes, templates, and study materials anytime to refresh your knowledge and stay updated.

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Career Support and Job Assistance

Accelerate your career with resume-building guidance, mock interviews, career mentoring, and dedicated job placement support.

Skills You Will Gain In Our Data Analyst Training

Our curriculum is compared to actual job descriptions from top hiring firms across India and across the globe. This is what you'll become proficient at after the course.

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Data Collection & Cleaning
Import, validate and transform raw data files with Excel along with the Python Pandas libraries to guarantee the accuracy of data before analysis.
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SQL for Data Querying
Write complicated SQL queries such as subqueries, joins, window functions in order to retrieve and alter structured information stored on relational databases.
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Python for Data Analysis
Utilize NumPy, Pandas, and Matplotlib to conduct statistical analysis, manipulation of data and automated reporting on the scale of.
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Data Visualization
Create interactive, engaging dashboards using Tableau as well as Power BI to translate complicated information into clear and executive-class information.
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Statistical Analysis
Utilize descriptive and inferential statistical techniques such as hypothesis tests, regression analyses and correlation, to be able to discern business data with confidence.
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Business Intelligence Reporting
Create the Power BI report and Excel pivot dashboards that align to business objectives, enabling data-driven team decision making.
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Storytelling using Data
Inform non-technical users by constructing narratives charts, narratives, and visual presentation.
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Exploratory Data Analysis (EDA)
Find outliers, patterns and trends in data with systematic EDA methods before making any business-related conclusions.
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Introduction to Machine Learning
Know the concepts of supervised learning such as the linear regression model, decisions trees use them in the most basic analytical use cases for predictive analytics.

Who This Program Is For

Ideal Candidates for Data Analyst Certification

This certification training is ideal for:

Aspiring Data Analysts – Individuals looking to start a career in data analytics and build job-ready skills.
Business Analysts – Professionals seeking to enhance their analytical capabilities and make data-driven business decisions.
IT Professionals – Technology professionals who want to transition into data-focused roles or expand their skill set.
Project Managers – Managers who need to interpret data, track performance metrics, and support strategic decision-making.
Recent Graduates – Students and graduates aiming to enter the growing field of data analytics with industry-relevant skills.
Marketing Professionals – Individuals looking to leverage data insights to optimize campaigns and improve customer engagement.
Finance Professionals – Analysts and finance experts seeking to use data for forecasting, reporting, and business intelligence.
Career Changers – Professionals from any industry interested in transitioning into a high-demand data analytics career.

This program is geared towards an array of students and professionals who wish to develop or develop their careers in the field of data analytics. If any of the profiles listed below are in line with your experience, then you're at the right spot.

Data Analyst Certification Training -- Career Roadmap

The Step-by-Step System to Land Your First Data Analyst Job

Program Roadmap

Eligibility and Pre-requisites

For Data Analyst Certification

The Data Analyst certification is designed for individuals from diverse educational and professional backgrounds who want to build practical skills in data analytics, business intelligence, and data-driven decision-making.

Course Modules

Comprehensive curriculum covering all exam domains

MODULE - 1

Module 1: Advanced Excel for Data Analytics

LESSON 1

Lesson 1: Advanced Formulas and Functions

Develop complex formulas with IFS, IF, AND, OR and nested logic operators. Use VLOOKUP, XLOOKUP, INDEX-MATCH, DATE and TEXT functions for data extraction.

LESSON 2

Lesson 2: Data Cleaning and Transformation

Standardise and clean raw data with data validation, Flash Fill, and Power Query. Automate repetitive reporting tasks by using dynamic arrays and named ranges.

LESSON 3

Lesson 3: Dashboards and KPI Reporting

Tools: Microsoft Excel, Google Sheets
Generative AI Masterclass: Prompt Engineering for Analytics
IBM-designed Course: Generative AI Essentials (6 hours)

MODULE - 2

Module 2: SQL for Data Analysis

LESSON 1

Lesson 1: Relational Database Fundamentals

Learn the fundamentals of relational databases including keys, tables, and data relationships.

LESSON 2

Lesson 2: SQL Query Development

Write SELECT, WHERE, and ORDER BY queries to retrieve and sort targeted data. Aggregate data using GROUP BY, HAVING, COUNT, SUM, AVG, MAX, and MIN.

LESSON 3

Lesson 3: Advanced SQL Techniques

Tools: MySQL, SQLite
Generative AI Masterclass: NL-to-SQL and Query Optimization using AI

MODULE - 3

Module 3: Statistics Foundation

LESSON 1

Lesson 1: Descriptive Statistics

Calculate mean, median, mode, variance, and standard deviation.

LESSON 2

Lesson 2: Probability and Data Distribution

Know the basics of probability and common data distributions.

LESSON 3

Lesson 3: Sampling and Business Interpretation

Tools: Microsoft Excel, Excel Analysis ToolPak

MODULE - 4

Module 4: Power BI & Tableau for Data Visualization

LESSON 1

Lesson 1: Power BI Dashboard Development

Transform and import data using Power Query. Create data models, define relationships, write DAX measures, and build interactive KPI dashboards with drill-throughs and dynamic filters.

LESSON 2

Lesson 2: Business Storytelling with Power BI

Create business storytelling reports for stakeholder presentations.

LESSON 3

Lesson 3: Tableau Data Visualization

Tools: Tableau, Power BI
Generative AI Masterclass: AI-Enhanced Dashboarding and Automated Insights
IBM-designed Course: Generative AI Tools for Business Intelligence (13 hours)

MODULE - 5

Module 5: Python for Data Analytics

LESSON 1

Lesson 1: Python Programming Fundamentals

Learn Python basics including data types, loops, functions, and error handling.

LESSON 2

Lesson 2: Data Manipulation with Pandas and NumPy

Use Pandas to load, clean, filter, combine, and reshape data. Utilize NumPy for numerical operations and array-based computation.

LESSON 3

Lesson 3: EDA and Data Visualization

Tools: Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook, Google Colab
Generative AI Masterclass: AI-Assisted Python Coding and Debugging
IBM-designed Course: AI Application with Python and Flask (11 hours)

MODULE - 6

Module 6: Advanced Statistics & Exploratory Data Analysis

LESSON 1

Lesson 1: Hypothesis Testing and Statistical Analysis

Perform hypothesis testing and analyze p-values and significance levels.

LESSON 2

Lesson 2: Correlation and Regression Analysis

Identify relationships between variables through correlation analysis and matrix analysis. Build and analyze basic linear regression models for business forecasting.

LESSON 3

Lesson 3: Confidence Intervals and EDA Framework

Tools: Python, NumPy, Pandas, SciPy, StatsModels
Generative AI Masterclass: AI-Powered EDA & Statistical Storytelling

MODULE - 7

Module 7: Career Preparation & Professional Development

LESSON 1

Lesson 1: Resume and LinkedIn Optimization

Optimize your LinkedIn profile and resume for Data Analyst job opportunities.

LESSON 2

Lesson 2: Interview Preparation and Communication Skills

Prepare for technical and behavioral interviews through mock sessions and professional feedback. Develop professional vocabulary and communication skills.

LESSON 3

Lesson 3: Workplace Readiness and Soft Skills

Improve group discussion abilities through role-playing and structured debates. Develop active listening, critical thinking, stakeholder communication, and professional workplace etiquette.

MODULE - 8

Module 8: Capstone Project

LESSON 1

Lesson 1: Industry Project Selection

Select one of five industry-specific capstone project tracks.

LESSON 2

Lesson 2: Analytics Solution Development

Build an end-to-end analytics solution using real-world datasets and business requirements.

LESSON 3

Lesson 3: Capstone Project Tracks

Black Friday Sales Analysis – Customer segmentation, demand patterns, and campaign performance.
Financial Performance Analysis – Revenue trends, cost drivers, and budget variance dashboards.
Risk Analytics in the Insurance Industry – Claims analysis, fraud detection, and operational risk insights.
Superstore Marketing Campaign Analysis – Customer behavior analysis and membership response prediction.
UPI Transactions Data Analysis – Transaction monitoring, fraud detection, and payment platform performance analysis.

Corporate Training

Tailored programs for teams with enterprise support

Learning Models
Choose from digital or instructor-led training for a customized learning experience.
LMS Platform
Access an enterprise-grade Learning Management System built for scalability and security.
Pricing Options
Pick from flexible pricing plans that fit your team size and learning goals.
Performance Dashboards
Track progress with intuitive dashboards for individuals and teams.
24x7 Support
Get round-the-clock learner assistance whenever you need help.
Account Manager
Work with a dedicated account manager who ensures smooth delivery and support.
Corporate Training

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Course & Support

Everything you need to know about our training options and support

What exactly is a Data Analyst? And what exactly do they do?
A Data Analyst gathers, analyzes, processes, and interprets structured and unstructured data to help organizations make informed business decisions. Common responsibilities include creating dashboards, writing SQL queries, performing statistical analysis, and presenting insights using visualization tools such as Power BI and Tableau.
Do I require prior experience with programming to take this course?
No prior programming experience is required. The course begins with beginner-friendly Excel and SQL concepts before gradually introducing Python. Instructors use practical examples to ensure that even complete beginners can learn comfortably.
What is the pay of a Data Analyst in India?
Entry-level Data Analysts in India typically earn between ₹3–6 LPA, while professionals with 3–5 years of experience can earn between ₹8–15 LPA. Senior analysts and Business Intelligence professionals at leading organizations may earn between ₹18–25 LPA depending on experience, industry, and specialization.
What is the time frame to complete this Data Analyst course?
The course is designed to be completed in 6–8 weeks through live weekend sessions or 8–10 weeks through weekday evening sessions. Timelines may vary by batch. Participants also receive lifetime access to recordings, allowing them to revisit topics at their own pace.
What type of certificate do I receive after completing the course?
You will receive the iCert Global Certified Data Analyst Certificate upon successful completion of the module assessments and capstone project. The certificate includes a unique verification ID that employers can verify online. It also supports preparation for third-party certifications such as Microsoft PL-300 (Power BI) and the Google Data Analytics Certificate.
Are there any job placement assistance services after the course?
Yes. iCert Global provides career support that includes resume-building guidance, LinkedIn profile optimization, mock interviews with industry experts, and access to job opportunities through its hiring partner network. While placement is not guaranteed, the program is designed to strengthen your job search prospects.
What is the main difference between Data Analytics and Data Science?
Data Analytics focuses on analyzing existing data to answer business questions and generate actionable insights using SQL, Excel, Python, and Business Intelligence tools. Data Science is broader and involves developing predictive models, machine learning algorithms, and advanced analytical solutions. Data Analyst roles are generally more accessible to beginners and remain in high demand across industries.
Can working professionals take part in this course?
Absolutely. The program is specifically designed for working professionals. Flexible evening and weekend batches help learners balance their studies with professional commitments, while recorded sessions provide additional convenience if a live class is missed.
What are the requirements for enrolling in the Data Analyst course?
This subject does not have any specific prerequisites. A fundamental understanding of mathematics, spreadsheets, and computers is advantageous; however, it is not mandatory. The program is intended for both novices and employed professionals.
What is the method of instruction for the Data Analyst training?
The training is accessible in a variety of learning formats, such as self-paced learning modules, hybrid learning options, and live instructor-led online classes, to accommodate a variety of schedules and learning preferences.
What is the duration of the Data Analyst course?
The duration is contingent upon the learning format that is chosen. The program can be completed by the majority of learners in a matter of weeks, and they will acquire practical experience through assignments and exercises.
Upon completion of the course, will I be granted a certificate?
Indeed. A Data Analyst Certificate of Completion will be awarded to participants who satisfactorily complete the training program and satisfy the course requirements.
Is it possible to access the course materials after the training has concluded?
Yes. Learners are granted access to training materials, recorded sessions (when applicable), practice resources, and post-training support to facilitate ongoing learning and reference.
What are the requirements for enrolling in the Data Analyst course?
This subject does not have any specific prerequisites. A fundamental understanding of mathematics, spreadsheets, and computers is advantageous; however, it is not mandatory. The program is intended for both novices and employed professionals.
What is the method of instruction for the Data Analyst training?
The training is accessible in a variety of learning formats, such as self-paced learning modules, hybrid learning options, and live instructor-led online classes, to accommodate a variety of schedules and learning preferences.
What is the duration of the Data Analyst course?
The duration is contingent upon the learning format that is chosen. The program can be completed by the majority of learners in a matter of weeks, and they will acquire practical experience through assignments and exercises.
Upon completion of the course, will I be granted a certificate?
Indeed. A Data Analyst Certificate of Completion will be awarded to participants who satisfactorily complete the training program and satisfy the course requirements.
Is it possible to access the course materials after the training has concluded?
Yes. Learners are granted access to training materials, recorded sessions (when applicable), practice resources, and post-training support to facilitate ongoing learning and reference.
What is the process for enrolling in the Data Analyst training program?
You may enroll by completing the online registration process or by contacting our training advisors, who can assist you in the selection of a course, scheduling, and payment options
Is there access to learner support during the course?
Certainly. Throughout the training, learners receive continuous assistance from instructors and support teams to address technical issues, course-related inquiries, and learning guidance
Is it possible for me to select a quantity that is compatible with my schedule?
In fact, there are numerous training schedules that are available, including weekday and weekend batches, which will enable you to choose the learning option that best suites your schedule.
What happens if I am unable to attend a live training session?
Access to alternative learning resources or recorded sessions may be available to assist you in maintaining your focus and successfully finishing the course, contingent upon the training format.
Is post-training support available following the completion of the course?
Certainly. Participants are provided with post-training support, which includes access to learning resources, certification guidance, and ongoing support to help them solidify their data analytics abilities.
What are the advantages of obtaining a Data Analyst certification for my professional development?
A Data Analyst certification is a testament to your analytical abilities and your proficiency in data manipulation, rendering you a more competitive candidate for data-driven positions in a variety of industries.
What career prospects are available upon completion of this course?
Graduates can pursue roles such as Data Analyst, Business Analyst, Reporting Analyst, Data Visualization Specialist, Operations Analyst, and Business Intelligence Analyst.
Will this course provide me with practical, job-ready skills?
Indeed. The training emphasizes the acquisition of skills that employers actively seek through hands-on projects, real-world datasets, and industry-standard tools
Is it possible for this certification to enhance my earning potential?
There is a significant demand for data analytics expertise in various sectors. Achieving certification can improve your professional profile and increase your chances of securing higher-paying positions and career advancement.
Is data analytics a viable career path for the future?
Indeed. The demand for competent data analysts in sectors such as finance, healthcare, technology, retail, and marketing is driven by the increasing reliance of organizations on data-driven decision-making.

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Data Analyst Training in Other Cities

Our Data Analyst certification training is available in major cities worldwide

New York London, England Tokyo Paris Singapore Dubai Hong Kong Los Angeles, CA San Francisco, CA Beijing Mumbai Sydney Toronto, ON Chicago, IL Bangalore Berlin Washington, DC Zurich Melbourne Seoul