Google Data Analytics | Coursera | May 2023

I learned the core concepts of data analysis, like cleaning data, visualizing it, and understanding its meaning. I can now use tools like spreadsheets and SQL to work with data effectively.
The program allowed me to work on real-world projects that mimicked actual data analysis challenges. This practical experience prepared me for a career in data analysis.
In addition to technical skills, I also learned how to communicate my data findings effectively. This includes creating clear data visualizations and reports that can be easily understood by non-technical stakeholders, making me a well-rounded data analyst.

Skills: Data Cleaning, Data Analysis, Spreadsheet, Data Collection, Data Ethics, SQL, Data Calculations, Rstudio, Tableau Software, Google BigQuery.

Google Advanced Data Analytics | Coursera | June 2023

I gained deep knowledge in data science, including advanced data manipulation, statistical analysis, and predictive modeling. These skills are crucial for a data science career.
The program offered hands-on projects where I tackled real-world data challenges. This experience helped me apply advanced techniques and get ready for a data science role.
In addition to technical skills, I learned how to create advanced data visualizations and tell engaging data-driven stories. This skill is essential for explaining complex data to people who may not have a technical background, making me a well-rounded data scientist.

Skills: Data Science, Regression Models, Predictive Modelling, Exploratory Data Analysis (EDA), Statistical Analysis, Regression Analysis, Machine Learning, Python Programming, Jupyter Notebook, Data Visualization (DataViz), Kaggle

Google Business Intelligence| Coursera | July 2023

I acquired a solid understanding of business data analytics and business intelligence fundamentals. This includes skills in data extraction, transformation, and loading (ETL), as well as the ability to generate valuable insights from data.
I learned how to create effective data visualizations using tools like Google Data Studio. This skill enables me to present data in a visually appealing and informative way, making it easier for businesses to make informed decisions. .
Throughout the program, I worked on practical business-oriented projects that simulated real-world scenarios. These hands-on experiences helped me apply my BI skills to solve actual business challenges, enhancing my readiness for a career in business intelligence.

Skills: Data Modeling, Business Analysis, Bigquery Extraction, Transformation And Loading (ETL), Business Process, Tableau Software, Dashboarding and Reporting

Amazon ML Summer School 2023 | Amazon India | November 2023

Engaging in Amazon ML Summer School was a revelation, with an outstanding syllabus delivering practical, real-time examples that vividly brought concepts to life.
The program stood out with a friendly and knowledgeable Amazon staff, making the learning journey enjoyable. Interactive FAQ sessions provided a platform for in-depth exploration of machine learning concepts. .
This transformative learning experience has reshaped my perception of Machine Learning possibilities in just a few weeks. I'm genuinely thankful for the opportunity and the insights gained during this insightful journey.

Skills: Data Machine Learning, Supervised learning, unsupervised learning, Neural Networks, Interference, Dimension Reductionality, Principal Component Analysis (PCA), Probabilistic reduction, Reinforcement Learning.

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Google Business Intelligence| Coursera | July 2023

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