Best Data Science Course in Shimla with 100% Practical Training & Placement Assistance
Enroll in the Data Science Course in Shimla at IICEA and learn Python, statistics, data analysis, machine learning, data visualization and practical data science techniques with industry-focused learning.
Learn through practical datasets, Python programming, machine learning exercises, data visualization and industry-oriented Data Science projects with practical learning at a Data Science Training in Shimla.
Inquire Now
Get Course Details
Data Science Course Overview
The Data Science Course in Shimla at IICEA is designed for students, graduates, beginners, programmers, data enthusiasts and working professionals who want to develop practical Data Science skills.
You will learn Python programming, statistics, NumPy, Pandas, data cleaning, exploratory data analysis, data visualization, SQL, machine learning and predictive analytics. These concepts provide a strong foundation for machine learning and modern data-driven applications.
The training focuses on practical datasets, data analysis, machine learning models, visualization, live projects and industry-oriented Data Science workflows. This Data Science Training in Shimla is supported by practical learning and career guidance, while the Best Data Science Institute in Shimla also provides placement assistance for eligible learners.
Skills You'll Gain
Python for Data Science
Learn Python programming and the concepts required for practical Data Science.
Statistics
Understand statistics and probability concepts used in data analysis and modelling.
NumPy & Pandas
Work with numerical data, DataFrames, data cleaning and data manipulation.
SQL
Query databases, retrieve information and prepare data for analysis.
Data Visualization
Create charts and visualizations to understand and communicate data insights.
Machine Learning
Learn machine learning algorithms, model training and predictive analysis.
Exploratory Data Analysis
Explore datasets, identify patterns and generate meaningful data-driven insights.
Predictive Analytics
Develop predictive models and apply Data Science techniques to real-world data.
Syllabus
- Introduction to Data Science
- Data Science Lifecycle
- Role of a Data Scientist
- Types of Data
- Data Science Applications
- Data-Driven Decision Making
- Real-World Data Science Use Cases
- Python Fundamentals
- Variables & Data Types
- Operators
- Conditional Statements
- Loops
- Functions
- Lists, Tuples & Dictionaries
- Sets
- Object-Oriented Programming Basics
- File Handling
- Exception Handling
- NumPy Introduction
- Arrays
- Array Indexing & Slicing
- Array Operations
- Mathematical Operations
- Statistical Functions
- Data Transformation
- Practical NumPy Exercises
- Pandas Introduction
- Series & DataFrames
- Importing Datasets
- Data Inspection
- Data Cleaning
- Missing Data Handling
- Data Filtering
- Data Transformation
- Grouping & Aggregation
- Data Analysis Exercises
- Introduction to Statistics
- Population & Sample
- Mean, Median & Mode
- Range & Variance
- Standard Deviation
- Probability Fundamentals
- Distributions
- Correlation
- Statistical Interpretation
- Database Fundamentals
- SQL Introduction
- Creating Databases & Tables
- SELECT Queries
- WHERE Conditions
- Sorting & Filtering
- GROUP BY & Aggregation
- Joins
- Subqueries
- Data Extraction for Analysis
- Exploratory Data Analysis
- Data Exploration
- Matplotlib
- Seaborn
- Charts & Graphs
- Bar Charts
- Line Charts
- Scatter Plots
- Heatmaps
- Data Storytelling
- Introduction to Machine Learning
- Machine Learning Workflow
- Supervised Learning
- Unsupervised Learning
- Features & Labels
- Training & Testing Data
- Model Training
- Model Evaluation
- Linear Regression
- Multiple Linear Regression
- Logistic Regression
- Decision Trees
- Random Forest
- K-Nearest Neighbors
- Support Vector Machines
- K-Means Clustering
- Model Comparison
- Scikit-Learn Introduction
- Data Preprocessing
- Feature Selection
- Feature Scaling
- Train-Test Split
- Model Training
- Model Prediction
- Model Evaluation
- Cross Validation Basics
- Practical Machine Learning Projects
- Predictive Analytics Fundamentals
- Regression Analysis
- Classification
- Forecasting Concepts
- Model Interpretation
- Prediction & Decision Making
- Business Data Analysis
- Predictive Analytics Project
- Jupyter Notebook
- Google Colab
- Python Data Science Libraries
- Data Science Workflow
- Project Documentation
- Git & GitHub Basics
- Data Science Portfolio Development
- Resume Preparation
- Interview Preparation
- Data Cleaning Project
- Exploratory Data Analysis Project
- Data Visualization Project
- SQL Data Analysis Project
- Machine Learning Project
- Predictive Analytics Project
- Final Data Science Portfolio Project
- Project Presentation
- Industrial Training
Professional Certification
Build your professional profile with practical Data Science skills, Python programming, machine learning projects, data analysis and course completion certification.
Earn a Professional Certificate & Stand Out.
GET IN TOUCH
Why Choose Us?
Job-Focused Training
Practical Data Science training focused on Python, data analysis and machine learning.
Practical Data Projects
Work with datasets and build practical Data Science and analytics projects.
80% Practical & 20% Theory
Learn by analysing data, writing Python programs and building machine learning models.
Personalized Mentorship
Individual guidance and doubt-solving support throughout the training.
Industry Tools & Technologies
Learn Python, SQL, NumPy, Pandas, visualization and machine learning tools.
Certification
Get course completion certification after successful completion.
Career Preparation
Build projects, portfolio skills, interview readiness and career confidence.
Job Assistance
Get career guidance, interview preparation and placement assistance.
Contact Us
sunny villa, near st. Xavier school, North Oak, Sanjauli, Shimla, Himachal Pradesh 171006 +91 62307 00689
Monday to Saturday – 9:00 AM to 7:00 PM
+91 62307 00689
iiceaorg@gmail.com
FAQs
It is a practical course that covers Python, statistics, data analysis, visualization, machine learning and other Data Science concepts.
You will learn Python, statistics, NumPy, Pandas, SQL, data cleaning, visualization, machine learning and predictive analytics.
The course covers Python, NumPy, Pandas, SQL, Matplotlib, Seaborn, Scikit-Learn, Jupyter Notebook and Google Colab.
You will develop skills in data cleaning, analysis, visualization, SQL, machine learning and working with practical datasets.
Students can work on practical projects involving data analysis, visualization, SQL, machine learning and predictive analytics.
Practical training covers datasets, Python exercises, data analysis, visualization, machine learning models and industry-oriented project work.
Learners can explore entry-level opportunities related to data analysis, Data Science, business analytics, machine learning and related fields.
It helps learners build practical skills in data analysis, programming, visualization and machine learning for data-driven work.
No. Beginners can start with Python fundamentals before progressing to statistics, data analysis and machine learning concepts.
Yes. The course includes practical datasets, Python exercises, data analysis, visualization, machine learning and project-based learning.
IICEA provides placement assistance, career guidance and interview preparation support to eligible students.
Yes. Students receive a course completion certificate after successfully completing the Data Science training as per the institute's course requirements.
