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โน30000
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Duration: 3 Months
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Delivery mode: Online
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Group size: 3
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Instruction language:
English,
Telugu
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Certificate provided:
Yes
๐๐ฏ๐๐ซ๐ฏ๐ข๐๐ฐ:
Master the tools and techniques of Data Science with this comprehensive course designed for beginners and intermediate learners. From Python programming and data analysis to advanced machine learning and real-world AI applications, this course empowers you to solve complex problems and make data-driven decisions confidently.
๐๐ก๐๐ญ ๐๐จ๐ฎ ๐๐ข๐ฅ๐ฅ ๐๐๐๐ซ๐ง:
๐๐ฒ๐ญ๐ก๐จ๐ง ๐๐จ๐ซ ๐๐๐ญ๐ ๐๐๐ข๐๐ง๐๐:
Python basics: syntax, data types, operators
Control structures: loops, functions, conditionals
Working with libraries like NumPy and Pandas
๐๐๐ญ๐ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ข๐ฌ ๐๐ง๐ ๐๐ข๐ฌ๐ฎ๐๐ฅ๐ข๐ณ๐๐ญ๐ข๐จ๐ง:
Data wrangling, cleaning, and transformation
Exploratory Data Analysis (EDA)
Visualizations using Matplotlib and Seaborn
๐๐ญ๐๐ญ๐ข๐ฌ๐ญ๐ข๐๐ฌ ๐๐ง๐ ๐๐ซ๐จ๐๐๐๐ข๐ฅ๐ข๐ญ๐ฒ:
Descriptive statistics and distributions
Probability theory and Bayes theorem
Hypothesis testing and confidence intervals
๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐๐ฌ๐ข๐๐ฌ:
Supervised vs. unsupervised learning
Linear and Logistic Regression
Decision Trees, K-Means Clustering
๐๐๐ฏ๐๐ง๐๐๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ :
Ensemble models: Random Forest, XGBoost
Intro to Deep Learning and Neural Networks
๐๐จ๐๐๐ฅ ๐๐ฏ๐๐ฅ๐ฎ๐๐ญ๐ข๐จ๐ง:
Cross-validation and confusion matrix
ROC-AUC, precision-recall, F1-score
Overfitting and hyperparameter tuning
๐๐๐๐ฅ-๐๐จ๐ซ๐ฅ๐ ๐๐ฉ๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ:
Predictive modeling
Time series forecasting
Natural Language Processing (NLP)
Case studies and mini projects
๐๐ก๐ฒ ๐๐ง๐ซ๐จ๐ฅ๐ฅ ๐ข๐ง ๐๐ก๐ข๐ฌ ๐๐จ๐ฎ๐ซ๐ฌ๐?
Hands-On Learning: Real datasets, assignments, and capstone projects
Job-Ready Skills: Master tools used in top tech and data-driven companies
Expert Instruction: Learn from a seasoned Data Science practitioner
Career Boost: Ideal for career switchers, upskillers, and college students
๐๐ก๐จ ๐๐ก๐จ๐ฎ๐ฅ๐ ๐๐ง๐ซ๐จ๐ฅ๐ฅ?
Beginners and enthusiasts entering the world of data science
IT and engineering students building a data career
Working professionals transitioning to data roles
Analysts and developers looking to enhance decision-making with data
๐๐จ๐ฎ๐ซ๐ฌ๐ ๐๐ซ๐๐ซ๐๐ช๐ฎ๐ข๐ฌ๐ข๐ญ๐๐ฌ:
No prior programming experience required
High-school level mathematics understanding is sufficient