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What You'll Learn in Our Data Science Course
Python for Data Science
Master Python fundamentals, NumPy arrays, vectorized calculations, and Pandas DataFrames for data manipulation.
Data Wrangling & Preprocessing
Clean raw data, handle missing values, detect outliers, perform feature scaling, normalization and encoding.
Exploratory Data Analysis (EDA)
Discover patterns and insights with statistical summaries, correlation heatmaps, Matplotlib and Seaborn charts.
Supervised Machine Learning
Build predictive models using Linear Regression, Logistic Regression, Decision Trees, Random Forests and SVM.
Unsupervised Learning
Segment customers and uncover latent structures with K-Means clustering, hierarchical clustering and PCA reduction.
SQL for Data Science
Extract business data using complex SQL queries, JOINs, aggregations, window functions, and database views.
Model Tuning & Evaluation
Evaluate models with precision, recall, F1-score, ROC-AUC, cross-validation, and GridSearchCV hyperparameter tuning.
Project-Based Learning
Apply techniques on end-to-end industry datasets: customer churn, sales forecasting, fraud detection and deployment.
Technologies & Tools Covered
Master industry-standard data science, machine learning, and analytics libraries
Why Join Vibrant Technology for Data Science Training in Ahmedabad Gujarat?
Full lifetime course access
Just enroll for one time and enjoy lifetime access to the course if you choose Vibrant Technology.
Placement Guarantee
We provide placement assistance and ensure our students get the job they deserve after course completion.
Personal Training
You can experience one-on-one private training.
Budget-friendly Course Fee
We are offering the entire course at very affordable pricing.
Data Science Course Curriculum
Comprehensive, industry-aligned syllabus covering Python, exploratory data analysis, machine learning algorithms, and project-based learning.
- Python environment setup: Anaconda, Jupyter Notebook & VS Code
- Data types, variables, lists, tuples, sets, and dictionaries
- Control flow, loops, list comprehensions, and user-defined functions
- NumPy arrays: indexing, slicing, broadcasting, and matrix math
- Pandas DataFrames: reading CSV, Excel, JSON and data inspection
- Handling missing data: imputation strategies (mean, median, mode)
- Data transformation: filtering, grouping (groupby), and pivoting
- Detecting and handling outliers using IQR and Z-score methods
- Categorical feature encoding: One-Hot Encoding & Label Encoding
- Feature scaling: Standardization (StandardScaler) & Min-Max Normalization
- Descriptive statistics: mean, median, variance, standard deviation
- Data visualization with Matplotlib: line plots, bar charts, scatter plots
- Advanced visualization with Seaborn: box plots, violin plots, pair plots
- Correlation analysis and feature relationship heatmaps
- Formulating and validating business data hypotheses
- Database querying with SQL: SELECT, WHERE, ORDER BY, GROUP BY
- Multi-table queries using INNER JOIN, LEFT JOIN, RIGHT JOIN
- Aggregate functions: COUNT, SUM, AVG, MIN, MAX & HAVING clause
- Subqueries, Common Table Expressions (CTEs), and window functions
- Connecting Python to SQL databases via SQLAlchemy & PyMySQL
- Machine learning workflow: train-test split, features & target
- Linear Regression and Multiple Linear Regression for continuous predictions
- Logistic Regression for binary classification
- Decision Trees and Ensemble Methods: Random Forest Classifier
- K-Nearest Neighbors (KNN) and Support Vector Machines (SVM)
- Unsupervised learning concepts: finding hidden patterns in data
- K-Means clustering algorithm & finding optimal clusters with Elbow method
- Hierarchical Clustering and Dendrogram interpretation
- Dimensionality reduction using Principal Component Analysis (PCA)
- Customer segmentation case study using clustering
- Regression metrics: Mean Squared Error (MSE), RMSE, MAE, and R² Score
- Classification metrics: Confusion Matrix, Accuracy, Precision, Recall, F1
- ROC curve & Area Under Curve (AUC) evaluation
- K-Fold Cross Validation to prevent overfitting
- Hyperparameter optimization using GridSearchCV & RandomizedSearchCV
- Serializing trained models using Joblib & Pickle
- Building an interactive predictive web dashboard with Streamlit
- Creating predictive REST API endpoints with FastAPI / Flask
- Publishing data science projects on GitHub & Kaggle portfolios
Who Should Join This Data Science Course?
College Students
Engineering, BCA, MCA, B.Sc and mathematics students wanting to enter high-paying data roles.
Freshers
Job seekers aiming to develop in-demand predictive analytics and machine learning skills.
Software Developers
Engineers looking to upgrade from standard programming into artificial intelligence and data science.
Business & Data Analysts
Analysts with Excel or SQL skills wanting to advance into Python, EDA, and machine learning.
Statisticians & Researchers
Quantitative professionals wanting to leverage modern Python libraries for data-driven modeling.
Career Switchers
Professionals from finance, marketing, or operations seeking a future-proof tech career.
Carrier Opportunities and Average Salary of Fresher in Data Science in
Ahmedabad Gujarat
Data science has become an integral part of IT industry. And as the number of IT sectors are rapidly growing in Ahmedabad, demand for people who have best skill in data science is increasing each passing day. This is why carrier opportunities in data science in Ahmedabad are comparatively higher than other places. Right now, salary of fresher data science expert in Ahmedabad is approx Rs. 4-7 lakh per annum which has possibility to be increased in future as per experience.
Data Science Salary in Ahmedabad
Fresher data science salaries in Ahmedabad range from Rs. 4 – 7 Lakh per annum and scale up to ₹12 – ₹16+ LPA with hands-on machine learning, EDA, and predictive modeling expertise.
- Junior Data Scientist
- Data Science Intern
- Data Analyst
- Machine Learning Engineer
- Data Scientist
- BI Solutions Architect
- Lead Data Scientist
- AI Product Lead
- Global Data Consultant
Certified Data Science Training in Ahmedabad by Vibrant Technology
If you are in search of an expert certified data science training in Ahmedabad near your locality, connect with Vibrant Technology. Not only in Ahmedabad but you can access our course sitting anywhere in this world as we are offering online training.
You can get a completely free but valid e-certificate after you complete the entire course. Join the most trusted data science training centre in Ahmedabad Gujarat today and master the entire course.
Learn Data Science with Practical Projects
Data science is learned by solving real business problems on large datasets. Build end-to-end predictive systems from day one.
Customer Churn Prediction & Retention Model
Credit Card Fraud Detection with Classification
E-Commerce Sales Forecasting with Time Series
Real Estate Price Valuation & Regression Model
Healthcare Disease Diagnostic Predictor
Interactive Streamlit Data Science Web App
Career Support After Data Science Training
Resume Guidance
Build a recruiter-ready data science resume highlighting machine learning models, Kaggle badges, and GitHub code.
Technical Interview Prep
Practice Python data analysis questions, statistical theory, algorithm trade-offs, and live machine test challenges.
Kaggle & GitHub Portfolio
Showcase well-documented Jupyter notebooks, EDA insights, and deployed interactive Streamlit apps.
One-on-One Code Reviews
Receive personal mentorship and optimization tips on your data preprocessing pipelines and model tuning.
Career Counseling
One-on-one sessions to explore data engineering, business analytics, or machine learning engineering tracks.
Placement Guarantee
Dedicated placement assistance ensuring our students get the data science jobs they deserve after course completion.
Start Your Data Science Journey Today
Book a free demo or connect with our training team to learn more about the Data Science Course in Ahmedabad.
