Certificates
Below are the certifications I have completed, along with key details (roll numbers / certificate IDs) and what I learned from each.
1. Google Advanced Data Analytics — Google | Coursera
Issuing Authority: Google
Candidate Name: Hrithik Bhardwaj
Certificate Credential: 9MDRBSU13VUW
Date on Certificate: May 2026
Certificate Link: Link
What I Learned: Through the successful completion of the “Google Advanced Data Analytics” certification by Google and Coursera, I strengthened my knowledge of exploratory data analysis, data visualization, and advanced analytical workflows used in real-world business environments. This course enhanced my understanding of the complete Exploratory Data Analysis (EDA) process using Python, including data cleaning, data structuring, outlier detection, validation techniques, and transformation of raw datasets into meaningful insights. I also developed practical experience working with analytical tools such as Tableau for building interactive dashboards and visual reports. Additionally, the program improved my ability to communicate technical findings effectively through data storytelling and business-oriented presentations. I gained hands-on exposure to transforming complex datasets into actionable insights that support data-driven decision-making processes. Throughout the course, I developed strong analytical thinking, technical communication, and problem-solving skills while working with real-world datasets and visualization techniques commonly used by data analysts and data science professionals. Completing this certification further strengthened my confidence in using Python, Tableau, and data visualization techniques for advanced analytics and business intelligence tasks.
2. Google Advance Data Analytics: Foundations of Data Science — Google | Coursera
Issuing Authority: Google
Candidate Name: Hrithik Bhardwaj
Certificate Credential: N4SOLRBIK802
Date on Certificate: May 2026
Certificate Link: Link
What I Learned: Through the successful completion of the “Foundations of Data Science” course under the Google Advanced Data Analytics Professional Certificate, I developed a strong understanding of the core principles, workflows, and responsibilities involved in modern data science and advanced analytics roles. This course introduced me to the PACE framework (Plan, Analyse, Construct, Execute), which is widely used for managing and executing data science projects efficiently. I learned about data ethics, privacy, stakeholder communication, and the importance of responsible data handling in professional environments. Additionally, I gained practical exposure to analysing real-world datasets using Python and Jupyter Notebook, including the exploration of the NYC Taxi dataset for identifying trends, patterns, and business insights. The program also strengthened my understanding of collaborative workflows within data teams and the role of machine learning in solving business problems. Throughout the course, I enhanced my analytical thinking, project planning, communication, and data interpretation skills while developing a deeper understanding of data science methodologies and professional best practices. Completing this certification further improved my confidence in applying foundational data science concepts to real-world analytical and business scenarios.
3. Google Data Analytics — Google | Coursera
Issuing Authority: Google
Candidate Name: Hrithik Bhardwaj
Certificate Credential: CKB7CHL2SOQM
Date on Certificate: May 2026
Certificate Link: Link
What I Learned: Through the successful completion of the “Foundations: Data, Data, Everywhere” course by Google and Coursera, I developed a strong understanding of the fundamental concepts and processes involved in data analytics and data-driven decision-making. This course introduced me to the complete data analysis life cycle, including asking effective questions, preparing data, processing information, analyzing datasets, sharing insights, and acting on results. I also learned the importance of analytical thinking, data ethics, fairness, and bias reduction in data analysis processes. Additionally, the program provided introductory exposure to key analytical tools and technologies such as SQL, spreadsheets, Tableau, and data visualization platforms commonly used in the industry. I gained foundational knowledge of how organizations use data to improve business operations and strategic decision-making. Throughout the course, I strengthened my critical thinking, problem-solving, and communication skills while building a solid foundation for future learning in data analytics, business intelligence, and data science. Completing this certification further improved my understanding of modern analytics workflows and prepared me for more advanced analytical and technical projects.
4. BCG - Data Science Job Simulation — Forage
Issuing Authority: Forage
Candidate Name: Hrithik Bhardwaj
Certificate Credential: 54EXdCMQfSMbbbmKt
Date on Certificate: May 2026
Certificate Link: Link
What I Learned: Through the successful completion of the “BCG Data Science Job Simulation” by Forage, I gained practical exposure to the responsibilities and workflows of a data science consultant working in a real-world business environment. During the simulation, I worked on customer churn analysis projects and developed analytical solutions to identify customer retention patterns and business risks. I gained hands-on experience in data analysis, business problem-solving, and communicating insights in a consulting-focused environment. Additionally, the program strengthened my understanding of predictive analytics, data interpretation, and customer behavior analysis while improving my ability to work with structured business datasets. I also developed practical experience in presenting data-driven recommendations to support strategic business decisions. Throughout the simulation, I enhanced my analytical thinking, stakeholder communication, and problem-solving abilities while learning how consulting firms use data science techniques to solve complex business challenges. Completing this job simulation further improved my confidence in applying data science and analytics skills within professional consulting and business intelligence environments.
5. Advance SQL — Great Learning
Issuing Authority: Great Learning
Candidate Name: Hrithik Bhardwaj
Certificate Credential: RPVCCXAX
Date on Certificate: May 2026
Certificate Link: Link
What I Learned: Through the successful completion of the “Advance SQL” course by Great Learning, I strengthened my knowledge of advanced database management and SQL querying techniques used in real-world data analysis and business intelligence environments. This course enhanced my understanding of advanced SQL concepts such as subqueries, joins, views, pattern matching, aggregate functions, conditional statements, and complex query optimization techniques. I learned how to extract, manipulate, filter, and analyze structured data efficiently using MySQL. Additionally, the course provided hands-on exposure to solving business-oriented data problems using SQL queries. I gained practical experience in writing efficient queries for reporting, data cleaning, and analytical decision-making processes commonly used by data analysts and database professionals. Throughout the program, I developed strong analytical and problem-solving skills while improving my ability to work with relational databases and structured datasets. The course also strengthened my understanding of data handling, query execution, and database design principles. Completing this certification has further improved my confidence in using SQL for data analysis, reporting, and database operations in professional environments.
6. Introduction to SQL — Simplilearn
Issuing Authority: Simplilearn
Candidate Name: Hrithik Bhardwaj
Certificate Credential: 10206301
Date on Certificate: May 2026
Certificate Link: Link
What I Learned: Through the successful completion of the “Introduction to SQL” course by Simplilearn, I built a strong foundation in Structured Query Language (SQL) and relational database management concepts. This course introduced me to the fundamentals of databases, including creating and managing tables, retrieving data using SELECT statements, filtering records with WHERE clauses, sorting data, and using aggregate functions for data summarization. I also gained practical knowledge of MySQL and Microsoft SQL Server environments. Additionally, I learned how to perform operations such as inserting, updating, and deleting records while understanding the importance of database normalization and structured data organization. The course emphasized the role of SQL in data analysis, business reporting, and backend database operations. Throughout the program, I improved my ability to write efficient SQL queries and gained confidence in working with structured datasets for analytical and business purposes. This certification has strengthened my understanding of relational databases and provided a solid base for advancing into more complex SQL and data analytics concepts.
7. IBM : What is Data Science? — IBM
Issuing Authority: IBM
Candidate Name: Hrithik Bhardwaj
Certificate Credential: O5LITK0UPM2M
Date on Certificate: February 16, 2026
Grade Achieved: 94.16%
Certificate Link: Link
What I Learned: Through the successful completion of the “What is Data Science?” course by IBM, I developed a foundational understanding of the data science landscape and its growing impact in today’s data-driven world. This course provided insights into what data science is, why it has become one of the most in-demand professions of the 21st century, and how organizations leverage data to make informed decisions and drive innovation. I gained a clear understanding of the role of data scientists, their responsibilities, and the variety of career pathways that can lead into the field. Additionally, the course highlighted valuable advice and perspectives from experienced data science professionals, offering practical guidance for individuals beginning their journey in data science. These insights emphasized the importance of curiosity, continuous learning, and interdisciplinary skills in building a successful career in the domain. Throughout the program, I strengthened my knowledge in key areas such as data analysis, data literacy, artificial intelligence, machine learning, and cloud computing, while also understanding how these technologies collectively power modern data science solutions. Completing this course with a grade of 94.16% has reinforced my commitment to developing expertise in data science and applying data-driven thinking to solve real-world problems.
8. IBM : Tools for Data Science — IBM
Issuing Authority: IBM
Candidate Name: Hrithik Bhardwaj
Certificate Credential: MCYPTCBRQLP6
Date on Certificate: February, 2026
Grade Achieved: 94.16%
Certificate Link: Link
What I Learned: Through the successful completion of “Tools for Data Science” by IBM, I gained practical knowledge of the essential tools and technologies commonly used by modern data scientists to analyze data, build models, and manage data-driven projects. The course provided a comprehensive overview of the data scientist’s toolkit, including libraries, datasets, machine learning models, and big data tools that support the end-to-end data science workflow. I developed familiarity with widely used programming languages such as Python, R, and SQL, understanding how they are applied in data analysis, statistical computing, and data management. A significant part of the course focused on hands-on tools used in real-world data science environments. I learned to work with interactive development environments like Jupyter Notebook and RStudio, exploring their features for writing, executing, and documenting code effectively. In addition, I gained experience in version control and collaborative development by learning how to manage and track code using Git repositories and share projects through GitHub. These tools are essential for maintaining reproducible workflows and collaborating with other developers and data scientists. Throughout the program, I strengthened my understanding of machine learning tools, cloud computing platforms, data visualization software, and development environments, building a strong technical foundation for practical data science work. Completing this course with a grade of 95.66% further reinforced my ability to work with industry-standard data science tools and prepared me to apply these technologies effectively in real-world data analysis and machine learning projects.
9. DOEACC ‘O’ Level (Advanced Diploma) — NIELIT
Issuing Authority: National Institute of Electronics & Information Technology (NIELIT), Government of India
Candidate Name: Hrithik Bhardwaj
Roll Number: 1226794
Certificate Number: 137020
Date on Certificate: 07 Jan 2020
Overall Percentage: 80%
Overall Grade: A
what I learned: This certification strengthened my foundation in programming, web development, and practical IT systems. It improved my problem-solving skills, helped me understand how businesses use IT tools, and gave me hands-on experience with core concepts that support analytics and software-based projects.
Modules Completed
- IT Tools and Business Systems (JAN/2019) — Grade: S
- Internet Technology and Web Design (JAN/2019) — Grade: A
- Programming and Problem Solving through C Language (JUL/2019) — Grade: A
- Introduction to ICT Resources (JUL/2019) — Grade: A
- Practical (JUL/2019) — Grade: B
10. CCC NIELIT Certificate (Examination: September 2018)
Candidate Name: Hrithik Bhardwaj
Candidate ID / Certificate ID: GO67177C1097FF12
Credential / Roll Number: GO1809123584
Examination Cycle: September 2018
Grade: B
Place: New Delhi
Issue Date: 19-12-2018 (Controller of Examinations, NIELIT HQ)
what I learned: This certification helped me build discipline for structured examinations and improved my understanding of core computer fundamentals. It strengthened my confidence in working with IT concepts that are useful in analytics workflows, documentation, and professional technical environments.