Knowing Exploratory Data Analysis (EDA) cocepts is crucial because it equips you with essential skills to make sense of raw data. EDA helps in identifying patterns, spotting anomalies, testing hypotheses, and checking assumptions through summary statistics and graphical representations. It is a critical first step in any data analysis or machine learning project, guiding subsequent steps by revealing the structure and key characteristics of the data.

In an EDA class, you'll learn to use powerful tools like Python's Pandas and visualization libraries to efficiently clean and preprocess data, handle missing values, and detect outliers. You'll also gain practical experience in creating informative visualizations that can reveal insights not immediately apparent from raw data alone. Moreover, mastering EDA enhances your ability to communicate findings clearly to stakeholders, driving better decision-making.

By understanding and applying EDA techniques, you can improve the accuracy of your models, reduce errors, and increase the overall reliability of your analysis. In essence, attending an EDA class is foundational for anyone aiming to work competently and effectively in data science, analytics, or any data-driven field.

Gallery (1)

Intro Video

About the Trainer

5 Avg Rating

1 Reviews

0 Students

3 Courses

Raship Kumar

Bachelor of Technology (B.Tech.) from GBTU in 2008

3 Years of Experience

I have got total IT experience of 15 years out of which 10 years is into Machine leaning & Data science.

I am a seasoned Sr. data scientist, having rich/hands-on experience in developing complex ML/DS solutions/real-world projects using various techniques involving Predictive analysis, Time series analysis, NLP, Deep learning and Generative AI, in various domains like Telecom, E-commerce, BSFI and Health care.

With my strong fundamental and theoretical knowledge, I have trained and mentored various data science teams and individual members which resulted in improving their skills and productivity as Data scientists and faster deliveries.

I am proficient in skills like Statistics, data ingestion from various sources, Exploratory data analysis, ML model training and evaluation, developing ML pipelines for model deployment using tools like MLflow & Kubeflow, Model deployment and monitoring in production environment and all sorts of MLops activities, Python and R scripting language.

I have got good experience in managed cloud services like AWS Sage maker, GCP Vertex AI and AWS Bedrock.

I have done B. tech. in Computer science and Post Graduate Executive Certificate Program in Data Science from IMT Ghaziabad.

I want to teach because I am passionate about sharing my knowledge and empowering others to unlock the potential of data science. Seeing students grasp complex concepts and apply them to solve real-world problems is incredibly rewarding. My goal is to inspire and guide the next generation of data scientists.