Data Analyst Certification Course
Unlock Insights with Our Data Analytics Training Course! Learn essential skills in data collection, cleaning, visualization, and statistical analysis using tools like Excel, Python, and Tableau. This hands-on course equips you to interpret data effectively, create impactful reports, and support data-driven decision-making across industries
4 | 5 monthsCourse duration
Classroom | OnlineMode of Delivery
09Capstone projects
Why should you do this course?
Learn and grow as a developer with our project based courses.
Build Meaningful Data Reports Fast
Learn how to build powerful web apps from scratch using MongoDB, Express, React, and Node. This course is highly practical and project-based.
End-to-end development skills
Master both frontend and backend technologies and become a job-ready full stack developer, capable of handling entire application flows.
Build Strong Strategic Analytical Skills
MERN stack is one of the most popular stacks used by top companies. This course prepares you for full stack developer roles with strong job prospects.
Excel in Accurate Data Reporting
Gain hands-on experience with Git, GitHub, REST APIs, JWT, MVC architecture, and deployment strategies used in real-world teams.
Starting from₹ 30000₹ 20000
LIVE BATCHKey Highlights
Data Analytics Course in DelhiData Analytics Institute in DelhiData Analytics Classes in Delhi
Live Projects
4 | 5 months duration
Certificate of Excellence/Completion
Placement assistance
Syllabus
Quickstart
Overview of the Journey
We offer live classes with expert instructors, weekly assignments to reinforce your learning, and fully practical training focused on real-world skills. You’ll work on hands-on projects throughout the course to build experience and confidence.
Python Programming Language
Datatype Variable & Conditional Statement
This module introduces participants to essential programming concepts, focusing on data types, variables, and conditional statements. Designed for working professionals, it provides a clear understanding of how data is stored, managed, and manipulated in modern programming. Through practical examples and hands-on exercises, participants will learn to implement decision-making logic, enabling them to write efficient, dynamic, and adaptable code for real-world business applications.
Loops and Functions
Loops and functions are essential programming tools that enhance code efficiency, readability, and reusability. This course segment equips working professionals with the skills to automate repetitive tasks using loops and structure programs through well-defined functions. Through practical, business-oriented examples, participants will learn to streamline processes, reduce errors, and develop clean, maintainable code suited for real-world applications.
File Handling & Exception Handling
File handling and exception handling are critical skills for managing data and ensuring robust, error-free applications. This course segment empowers working professionals to efficiently read, write, and manage files, while implementing exception handling techniques to gracefully manage unexpected errors. With practical scenarios and business-focused examples, participants will learn to build reliable, user-friendly programs that maintain data integrity and enhance operational stability
Object Oriented Programming
Object Oriented Programming (OOP) introduces a structured, scalable approach to software development by organizing code into reusable objects. This course segment enables working professionals to design and develop modular applications using core OOP principles like classes, objects, inheritance, encapsulation, and polymorphism. Real-world examples and practical exercises help participants apply these concepts to build efficient, maintainable, and business-ready solutions.
Webscraping
Web scraping equips professionals with the ability to extract valuable data from websites for analysis and decision-making. This course segment covers techniques to access, parse, and retrieve structured information from web pages using popular libraries, while addressing ethical considerations and best practices. Practical exercises help participants automate data collection and streamline reporting tasks for real-world business needs.
Numpy Library
NumPy is a powerful Python library designed for efficient numerical computations and data manipulation. This course section introduces working professionals to essential NumPy concepts, including arrays, mathematical operations, and advanced data processing techniques. Hands-on examples demonstrate how to handle large datasets with speed and precision, enabling data-driven solutions in business environments
Pandas Library
Pandas provides a versatile framework for data analysis and manipulation, widely used in data science and business analytics. This part of the course helps working professionals master the creation, modification, and analysis of structured data using DataFrames and Series. Through practical case studies, participants will learn to clean, transform, and analyze data effectively for insightful business reporting and decision support
Data Visualization using Seaborn & Matplot
Data visualization is a vital skill for presenting complex information clearly and effectively. This course segment introduces working professionals to Seaborn and Matplotlib, two powerful Python libraries for creating insightful, publication-quality charts and graphs. Participants will learn to visualize trends, patterns, and relationships in data through a range of plots, enabling better business reporting, storytelling, and data-driven decision-making
Python Projects
The Python project segment offers working professionals an opportunity to apply their programming knowledge to real-world business challenges. Participants will design, develop, and implement a practical solution using Python, integrating concepts like data handling, conditional logic, loops, functions, and libraries such as Pandas, NumPy, and Matplotlib. This hands-on experience strengthens problem-solving skills and prepares learners to tackle data-driven tasks confidently in professional environments.
Data Analytics Using Pandas
Analysing datasets and case studies
Data analytics using Pandas equips professionals with the ability to efficiently manage, analyze, and interpret structured data. This course segment focuses on leveraging Pandas’ powerful DataFrame and Series structures for data cleaning, transformation, aggregation, and analysis. Through practical, business-focused examples, participants will learn to extract insights from data, enabling informed decision-making and streamlined reporting in real-world scenarios
MYSQL Database
Basic MYSQL & Constraints
Basic MySQL and constraints form the foundation for effective database management and data integrity. This course segment introduces working professionals to essential MySQL concepts, including database creation, querying, and the implementation of constraints such as primary keys, foreign keys, and unique constraints. Through practical examples, participants will learn to design robust databases that ensure accuracy, consistency, and reliability in business applications
Data Defination Language
DDL commands are fundamental for defining and managing the structure of a database. Working professionals learn how to create, alter, and drop database objects such as tables, indexes, and schemas. Mastering DDL enables precise control over database architecture, ensuring that business data is stored efficiently and can be accessed reliably as organizational needs evolve.
Data Manipulation Language
DML focuses on the manipulation of data within database tables. This segment trains professionals to perform essential operations such as inserting, updating, deleting, and retrieving data. By mastering DML commands, participants can efficiently manage transactional data, support real-time reporting, and ensure data accuracy critical for informed business decision-making
Data Control Langauge
DCL deals with the security and permission aspects of databases. Professionals learn to grant or revoke user privileges and manage access control, safeguarding sensitive business information. Understanding DCL commands is key to maintaining data confidentiality, enforcing compliance policies, and protecting organizational assets from unauthorized access.
MYSQL GroupBy
GroupBy is a powerful data manipulation technique used to segment data into meaningful groups based on one or more keys. This allows professionals to analyze patterns, trends, and summaries within subsets of data. Mastering GroupBy enables efficient organization and comparison of business metrics, supporting deeper insights and more targeted decision-making.
Aggregate Functions
Aggregate functions perform calculations on multiple rows of data, returning summarized results such as sums, averages, counts, and maximum or minimum values. Working professionals use these functions to quickly derive meaningful statistics from large datasets. Combining aggregate functions with GroupBy operations empowers data analysts to generate concise reports and drive informed business strategies.
MySQL Joins
Joins are essential for combining data from multiple tables based on related columns, enabling comprehensive data analysis across different sources. This segment teaches working professionals how to use various types of joins—such as INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN—to merge datasets effectively. Mastering joins facilitates complex querying and supports integrated business insights by connecting disparate data points.
Sub Queries
Subqueries allow for nested queries within a larger SQL statement, providing a flexible way to perform multi-step data retrieval and filtering. Professionals learn to write subqueries to extract intermediate results that drive more sophisticated and dynamic data analysis. Utilizing subqueries enhances query efficiency and helps solve complex business questions with precision.
Windows Functions
Window functions provide advanced analytical capabilities by performing calculations across a set of table rows related to the current row without collapsing the result into a single output. This technique enables working professionals to compute running totals, ranks, moving averages, and other cumulative metrics within partitions of data. Mastery of window functions allows for sophisticated data analysis and reporting, offering deeper business insights while maintaining detailed row-level information.
Database Connectivity
Python connectivity with MYSQL
Database connectivity enables applications to interact seamlessly with databases, facilitating data retrieval, manipulation, and storage in real-time. This course segment equips working professionals with the skills to establish secure connections between programming environments and databases using standard interfaces and drivers. Mastering database connectivity is essential for developing dynamic applications and ensuring smooth data integration within business workflows
Git & GitHub
Basics of Git/GitHub
Learn version control using Git, and how to collaborate on code using GitHub.
Advance Excel
Introduction to Data Analysis Using Spreadsheets
Overview of supervised, unsupervised, and reinforcement learning paradigms.
Getting Started with Using Excel Spreadsheets
Learn KNN algorithm for classification and regression with distance-based logic.
Cleaning & Wrnagling
Simple linear regression for predicting continuous outcomes using a single feature.
Analyzing data using spreadsheet
Extend linear regression to multiple features using vectorized implementation.
PowerBI
Introduction to Interface
A clear understanding of the Power BI interface is essential for working professionals to navigate, manage, and visualize data effectively. This segment introduces participants to the key components of the Power BI workspace, including dashboards, reports, datasets, and visualization tools. By familiarizing themselves with the interface, professionals can streamline their workflow, build impactful visual reports, and make data-driven decisions confidently.
Data Connection
Establishing reliable data connections is a crucial step in building dynamic and interactive reports in Power BI. This segment guides working professionals through connecting Power BI to various data sources such as Excel, SQL databases, cloud services, and web APIs. Participants will learn how to import, refresh, and manage data connections efficiently, ensuring seamless access to updated and accurate information for business analysis and reporting
Data Transformation
Data transformation is a vital process that prepares raw data for meaningful analysis and visualization. This segment teaches working professionals how to clean, reshape, and combine data using Power BI’s Power Query Editor. By mastering data transformation techniques, participants can ensure data accuracy, enhance data quality, and build efficient models that drive insightful business decisions
Advance Data Transformation
Advanced data transformation techniques enable working professionals to handle complex data preparation challenges within Power BI. This segment covers the use of custom formulas, conditional columns, parameterization, and merging or appending queries to create robust, dynamic datasets. Mastery of these advanced skills ensures the delivery of high-quality, refined data models that support sophisticated analytics and business intelligence solutions
Data Modelling
Data modeling is a critical step in transforming raw data into structured, meaningful insights. This segment guides working professionals through creating efficient data models by defining relationships, hierarchies, and calculated columns within Power BI. Understanding data modeling principles helps optimize performance, ensures accurate analysis, and supports the development of insightful, interactive reports for strategic business decisions
DAX
DAX (Data Analysis Expressions) is a powerful formula language used to perform dynamic calculations and data analysis within Power BI. This segment equips working professionals with the skills to create custom measures, calculated columns, and tables that enhance the analytical capabilities of their reports. Mastering DAX enables the development of advanced, interactive visualizations that provide deeper business insights and support data-driven decision-making.
Visual Data Analytics
Visual Data Analytics empowers working professionals to interpret complex datasets through intuitive graphical representations. This segment focuses on using visualization tools and techniques to uncover trends, patterns, and insights that drive strategic decision-making. By mastering visual analytics, participants can communicate data stories effectively, enabling stakeholders to grasp critical business information quickly and accurately.
Data Visualization
Data visualization transforms raw data into clear, compelling visual formats that enhance understanding and decision-making. This segment equips working professionals with the skills to create impactful charts, graphs, and dashboards using modern visualization tools. By effectively presenting data insights, participants can facilitate better communication, identify trends, and support strategic business initiatives
Data Analytics Capstone Projects
Data Analytics Capstone Projects & Business Solutions
Data Analytics Capstone Projects offer working professionals a platform to apply their analytical skills to real-world business problems. Participants will work on end-to-end projects involving data cleaning, exploration, analysis, visualization, and reporting using tools like Pandas, NumPy, and visualization libraries. These projects are designed to enhance problem-solving abilities, build project management experience, and create portfolio-ready work that demonstrates practical expertise to potential employers.
Linkedin and Resume Building
LinkedIn Profile Optimization & Personal Branding
A well-crafted LinkedIn profile is essential for building a strong professional presence and attracting career opportunities in today’s digital landscape. This segment guides working professionals in optimizing their profiles with impactful summaries, keyword-rich skill listings, and project highlights. Participants learn strategies to expand their professional network, engage with relevant industry content, and position themselves effectively for job opportunities and collaborations.
Resume Building & Optimization
An effective resume is a key tool for making a strong first impression in today’s competitive job market. This segment helps working professionals craft concise, achievement-focused resumes that highlight relevant skills, projects, and certifications. Participants will learn best practices for formatting, keyword optimization, and tailoring resumes for specific job roles, ensuring their profiles stand out to recruiters and hiring managers.
Interview Preparation
Interview Preparation & Career Readiness
Interview preparation is designed to help working professionals confidently navigate technical and HR interview rounds in data and technology roles. This segment focuses on refining problem-solving approaches, strengthening conceptual clarity, and practicing commonly asked questions related to programming, databases, data analytics, and project scenarios. With mock interviews, real-world case discussions, and resume enhancement tips, participants are equipped to present their skills effectively and secure career-advancing opportunities.
Why choose Datadrix?
Learn and grow as a developer with our project based courses.
Superb mentors
Best in class mentors from top Tech schools and Industry favorite Techies are here to teach you.
Industry-vetted curriculum
Best in class content, aligned to the Tech industry is delivered to you to ensure you Tech industry.
Project based learning
Hands on learning pedagogy with live projects to cover practical knowledge over theoretical one.
Superb placements
Result oriented courses across all genres, students as well as Working professionals.
Project based learning
Hands on learning pedagogy with live projects to cover practical knowledge over theoretical one.
Superb placements
Result oriented courses across all genres, students as well as Working professionals.
Certificate of completion
Joining DATADRIX means you'll create an amazing network, make new connections, and leverage diverse opportunities.
“Validate Your Expertise and Propel Your Career”
Expand Opportunities: Certifications to unlock new career opportunities, gain credibility with employers, and open doors to higher-level positions.
Continuous Growth: Certifications not only validate your current skills but also encourage continuous learning and professional development, allowing you to stay updated with the latest industry trends and advancements.
Certification: A testament to your skills and knowledge, certifications demonstrate your proficiency in specific areas of expertise, giving you a competitive edge in the job market.
Our Alumni's Are Placed At
See what students have to say
Joining DATADRIX means you'll create an amazing network, make new connections, and leverage diverse opportunities.
I joined Datadrix to learn Python and Data Engineering. Thanks to Om Arora for simplifying coding concepts and providing practical projects to work on.
Datadrix Institute helped me build a solid base in Python and Data Science. Special thanks to Nitin Shrivastav for his clear and practical teaching.
Thanks to Datadrix’s Data Analytics program, I cracked my interview confidently. Nitin Shrivastav’s sessions were insightful and very practical.
Loved learning Python and Data Science here. Datadrix has the best trainers and projects. Special thanks to Om Arora for his real-world examples.
Finally cracked my second job in data science after Datadrix’s training. Nitin Shrivastav’s SQL and Power BI sessions boosted my confidence.
Datadrix Institute made learning Web Development super fun! Om Arora’s support and practical project work made the course so much more valuable.
The Data Analytics course by Datadrix Institute was worth it. Nitin Shrivastav’s explanations on tools like Excel and Power BI made it easy.
Datadrix's Data Science program gave me clarity on statistics and ML. Om Arora explained tough topics in a very simple and relatable way.
Big thanks to Datadrix for helping me master Python programming. Nitin Shrivastav’s approach to teaching made coding fun and easy to follow.
Datadrix's Data Science program gave me clarity on statistics and ML. Nitin sir explained tough topics in a very simple and relatable way.
The Data Analytics course at Datadrix helped me land my job as a data analyst. Nitin Shrivastav’s clear and patient teaching style stood out.
The Python programming training was perfect for beginners. Thanks to Nitin Shrivastav for always clearing doubts patiently and giving real projects.
Frequently Asked Questions
Learn and grow as a developer with our project based courses.
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