Data Science & Analytics Industrial Training - 2 Months
Data Science & Analytics Industrial Training in Patna Bihar - 2 Months ₹549. Complete training: Python, data analysis, visualization, statistics, machine learning, and real projects. Best data science training in Bihar.
Course Overview
Program Description
Skills You'll Learn
Projects You'll Work On
Data Science Capstone Project
Complete end-to-end data science project including: Data collection from real sources, Data cleaning and preprocessing, Exploratory data analysis (EDA), Feature engineering, Machine learning model building, Model evaluation and optimization, Data visualization dashboard, Business insights and recommendations, Complete documentation and presentation.
Sales Analytics Dashboard
Build a complete sales analytics dashboard using Python, SQL, and Power BI with: Sales trend analysis, Product performance, Regional analysis, Customer segmentation, KPI tracking, Interactive visualizations, and Business recommendations.
Customer Churn Prediction Model
Build a machine learning model to predict customer churn with: Data preprocessing, Feature engineering, Classification models (Logistic Regression, Random Forest, XGBoost), Model evaluation, Feature importance, Business recommendations, and Deployment-ready model.
Time Series Forecasting Project
Build a time series forecasting model with: Data collection and preprocessing, Time series decomposition, ARIMA/SARIMA modeling, Prophet forecasting, Model evaluation, Visualization, and Business forecasting report.
Program Modules
W1: Python Programming for Data Science
Complete Python programming from basics to advanced. Variables, data types, operators, control flow, loops, functions, OOP concepts, file handling, exception handling, and modules. Learn Python libraries NumPy and Pandas for data manipulation and analysis. Master data structures (lists, tuples, dictionaries, sets) and their applications in data science.
W2: Data Analysis & Visualization
Master data analysis with Pandas - data cleaning, transformation, aggregation, grouping, merging, joining, and pivoting. Learn data visualization with Matplotlib and Seaborn - line plots, bar charts, histograms, scatter plots, heatmaps, and interactive dashboards. Understand EDA (Exploratory Data Analysis) techniques, outlier detection, correlation analysis, and data storytelling.
W3: Statistics & Probability
Complete statistics and probability for data science - descriptive statistics (mean, median, mode, standard deviation, variance), inferential statistics (hypothesis testing, t-tests, ANOVA, chi-square), probability distributions (normal, binomial, Poisson), correlation and regression analysis. Learn statistical analysis using Python and interpret results for business decisions.
W4: Machine Learning Fundamentals
Comprehensive machine learning - supervised learning (linear regression, logistic regression, decision trees, random forest, SVM, KNN), unsupervised learning (K-means clustering, hierarchical clustering, PCA), model evaluation (accuracy, precision, recall, F1-score, ROC-AUC), cross-validation, and hyperparameter tuning. Build real ML models using Scikit-learn.
W5: SQL & Database for Data Science
Complete SQL for data science - SELECT, WHERE, GROUP BY, ORDER BY, HAVING, JOINs (inner, left, right, full), subqueries, CTEs, window functions, and database design. Learn to work with MySQL, PostgreSQL, and SQLite databases. Master data extraction, transformation, and loading (ETL) processes for data science projects.
W6: Power BI & Business Intelligence
Complete Power BI for business intelligence - data import, data transformation (Power Query), data modeling, DAX (Data Analysis Expressions), calculated columns, measures, relationships, and interactive dashboards. Learn to create professional business dashboards with charts, slicers, maps, and KPIs. Master data storytelling and report publishing.
W7: Data Science Capstone Project - Part 1
Apply all learned skills to a comprehensive real-world data science project. Choose from domains like e-commerce, finance, healthcare, or marketing. Perform end-to-end data science workflow: data collection, data cleaning, exploratory data analysis, feature engineering, model building, and evaluation. Document your approach and findings.
W8: Data Science Capstone Project - Part 2 & Career Prep
Complete your capstone project with model deployment, dashboard creation, and professional presentation. Learn data science career preparation - resume building, portfolio creation, GitHub, Kaggle, interview preparation, and job search strategies. Present your project and receive feedback from industry experts. Receive certification and career guidance.
Key Features
What You'll Learn
Examination Details
| Exam Name | Full Marks | Pass Marks |
|---|---|---|
| Module-wise Assessment | 100 | 40 |
| Practical Lab Assessment | 100 | 50 |
| Capstone Project Evaluation | 100 | 50 |
| Final Project Viva | 100 | 50 |
| Industrial Training Exam | 100 | 40 |
Internship Details
Prerequisites
- Basic computer knowledge
- Basic mathematics knowledge
- Interest in data science
- No prior programming experience required
Who Can Enroll ?
- BCA students (1st to 6th semester)
- MCA students (1st to 4th semester)
- BTech CS/IT students (1st to 8th semester)
- BSc Statistics/Maths students
- BCom/MBA students
- Data science aspirants
- Business analysts
- Marketing analysts
- Finance professionals
- Career changers wanting data science skills
- Working professionals upskilling in data science
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