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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.

2 Months
Patna, Bihar (Online & Offline)
INT-DS-02
₹549
₹1,499 Save 63%
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⚡ Limited seats available

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Course Overview

Program Description

Data Science & Analytics 2-Month Industrial Training at NextVision Infotech Patna. This comprehensive program transforms students from beginner to job-ready data science professionals. Covering complete data science lifecycle including Python programming, data analysis, data visualization, statistics, machine learning, and real-world project development. Learn industry-standard tools (Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, SQL, Power BI) and work on real datasets. Data Science professionals are in high demand across IT, finance, healthcare, e-commerce, and consulting industries. Companies like TCS, Infosys, Wipro, Amazon, Flipkart, and Accenture actively hire data science professionals. This program prepares you for immediate employment with practical, hands-on skills and a professional portfolio.

Skills You'll Learn

Python
NumPy
Pandas
Matplotlib
Seaborn
Scikit-learn
SQL
MySQL
Power BI
DAX
Data Analysis
Data Visualization
Statistics
Probability
Machine Learning
Regression
Classification
Clustering
Model Evaluation
Cross-Validation
Feature Engineering
EDA
Data Cleaning
Data Storytelling
Business Intelligence
Jupyter Notebook
Git
GitHub

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

1

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.

2

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.

3

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.

4

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.

5

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.

6

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.

7

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.

8

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

Offer Letter Provided
Internship Certificate
Industrial Training Certificate
Industry Recognized
Live Projects
Python Training
Pandas & NumPy
Matplotlib & Seaborn
Scikit-learn
SQL Training
Power BI
Expert Guidance
Placement Assistance
ISO 9001:2015 Certified Institute

What You'll Learn

Master Python programming for data science
Perform data analysis with Pandas and NumPy
Create data visualizations with Matplotlib and Seaborn
Apply statistics and probability concepts
Build machine learning models with Scikit-learn
Query databases with SQL
Create business dashboards with Power BI
Perform end-to-end data science projects
Build a professional data science portfolio
Prepare for data science jobs
Earn industry-recognized certification

Examination Details

Exam NameFull MarksPass Marks
Module-wise Assessment10040
Practical Lab Assessment10050
Capstone Project Evaluation10050
Final Project Viva10050
Industrial Training Exam10040
Data Science & Analytics Industrial Training - 2 Months

Internship Details

Duration2 Months
CompanyNextVision Infotech
IndustryIT & Data Science
LocationPatna, Bihar (Online & Offline)
Available Seats100
Course CodeINT-DS-02
Apply Now — ₹549

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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