Data Science Training
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Rating : (641)
Data Science Training
Our Data Science course is built to equip you with the skills to turn raw data into actionable insights. Whether you're a beginner or looking to shift into a data-driven role, this course covers the essential techniques and tools used by data professionals today.
You'll dive into data collection, cleaning, analysis, visualization, and storytelling. Using Python, Pandas, NumPy, Matplotlib, and tools like SQL and Jupyter, you’ll learn how to explore datasets, draw meaningful conclusions, and communicate results clearly.
By the end, you'll be able to work with real-world data, create compelling visualizations, and make informed decisions—ready for roles in business analytics, data consulting, and data-driven product development.
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Introduction to data science and the data lifecycle
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Understanding structured vs unstructured data
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Key roles: Data analyst, data engineer, data scientist
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Real-world applications: business analytics, fraud detection, social media trends
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Python basics with Pandas, NumPy, and Seaborn
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Data wrangling: handling missing data, outliers, and duplicates
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Data visualization with Matplotlib and Plotly
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Introduction to SQL for querying databases
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Core statistical concepts: mean, median, standard deviation
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Probability, distributions, and hypothesis testing
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Exploratory data analysis (EDA) techniques
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Correlation, trends, and data-driven storytelling
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Applying ML in data science: problem framing and pipeline setup
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Regression, classification, clustering for insights
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Feature selection, dimensionality reduction (PCA)
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Model validation and cross-validation techniques
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Sales forecasting for retail using time series data
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Customer segmentation using clustering techniques
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Churn prediction for telecom/data services
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Capstone: Full-cycle data project with data cleaning, EDA, modeling, and dashboarding
Customer Reviews
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Harini Venkatesh
“I joined this course with zero background in coding, but the step-by-step approach made everything easy to grasp. Loved the practical projects—especially the sales forecasting one!”
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Nanditha Gopal
“This course gave me the confidence to shift into a data analyst role. The real datasets and capstone project were the best parts. Highly recommended!”
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Vijay Karthik
“Great for beginners. The instructor explained statistical concepts clearly. Would’ve liked a bit more on data visualization tools, but overall, it’s a solid course.”
Why Learn Data Science Training ?
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Power of Data – Data drives decisions everywhere. Learn to turn raw data into valuable insights.
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Real-World Impact – Use data to solve practical problems, from sales growth to customer trends.
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Tech Meets Logic – Combine coding with smart thinking to extract meaning from data.
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High Demand Careers – Skilled data professionals are needed across industries—tech, business, and beyond.
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Instructor:Deep Tech Skill
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Duration3 Month
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Skill LevelIntermediate
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LanguageEnglish
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QuizYes
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CertificateYes
