Data Science
Learn to extract meaningful insights from structured and unstructured data. Cover data acquisition, cleaning, multidimensional exploratory analysis, statistical hypothesis evaluation, and visualization storytelling using standard data science workflows.
Key Topics & Practical Competencies
Designed around real application scenarios rather than abstract textbook theory.
Data manipulation with NumPy arrays & Pandas DataFrames
Handling missing values, duplicates & outliers
Exploratory Data Analysis (EDA) & statistical summaries
Visualization with Matplotlib & Seaborn
Applied data science workflow case study
Who Should Attend
Graduates, research scholars, and professionals entering data-driven roles.
Prerequisites
Basic Python programming skills.
Duration Standard: Course duration is based on institute baseline standards; batch-specific hours confirmed upon enquiry.
Credential Award: Candidates who complete the required practical hours and pass the laboratory evaluation earn an official Certificate of Completion issued by Techva Educational Institute under Techva Educational Foundation.
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