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Curriculum Designed By Experts
Expertly designed curriculum for future-ready professionals.
Industry Oriented Curriculum
An exhaustive curriculum designed by our industry experts which will help you to get placed in your dream IT company
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30+ Case Studies & Projects
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9+ Engaging Projects
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10+ Years Of Experience
Data Science With Python Training Projects
Become a Data Science With Python Expert With Practical and Engaging Projects.
- Practice essential Tools
- Designed by Industry experts
- Get Real-world Experience
Data Cleaning and Preprocessing
Beginners start with a project focused on cleaning and preparing datasets for analysis. This involves handling missing values, removing duplicates, and formatting data correctly using Pandas.
Exploratory Data Analysis
A crucial skill in data science is understanding data through visualizations. In this project, students analyze datasets using Matplotlib and Seaborn to generate insights.
Sentiment Analysis on Twitter Data
Using Natural Language Processing (NLP) techniques and Python’s TextBlob library, students work on a basic sentiment analysis model that classifies tweets as positive, neutral, or negative.
Credit Card Fraud Detection
Students develop a classification model using Logistic Regression and Random Forest algorithms to identify fraudulent transactions, improving accuracy through feature engineering.
Movie Recommendation System
Using collaborative filtering and content-based filtering, students create a personalized movie recommendation system leveraging Python libraries such as Scikit-learn and Surprise.
Forecasting Stock Prices
This project involves working with historical stock market data and implementing time series forecasting techniques using ARIMA and LSTM neural networks to predict future stock trends.
Fraud Detection with Deep Learning
This project focuses on building an advanced fraud detection model using deep learning techniques like autoencoders and neural networks for anomaly detection.
Autonomous Vehicle Lane Detection
Students work with OpenCV and deep learning to develop a lane detection system that helps autonomous vehicles detect road lanes using computer vision techniques.
Predictive Maintenance
Leveraging IoT sensor data, students build predictive maintenance models using machine learning algorithms to forecast equipment failures and reduce downtime in industries.
Key Features
Practical Training
Global Certifications
Flexible Timing
Trainer Support
Study Material
Placement Support
Mock Interviews
Resume Building
Batch Schedule
Weekdays Regular (Class 1Hr - 1:30Hrs) / Per Session
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01 - Dec - 2025 Starts Coming Monday ( Monday - Friday) 08:00 AM (IST)
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03 - Dec - 2025 Starts Coming Wednesday ( Monday - Friday) 10:00 AM (IST)
Weekend Regular (Class 3Hrs) / Per Session
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06 - Dec - 2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session
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07 - Dec - 2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Enquiry Form
- Learning strategies that are appropriate and tailored to your company's requirements.
- Live projects guided by instructors are a characteristic of the virtual learning environment.
- The curriculum includes of full-day lectures, practical exercises, and case studies.
Data Science with Python Training Overview
Benefits gained from Data Science With Python Course in Online
Learners develop strong Python programming skills for data analysis, machine learning, and visualization. Projects focus on real datasets, predictive modeling, and automated reporting. Students become proficient in libraries like Pandas, NumPy, Matplotlib, and Scikit-learn. Data Science With Python Certification in Online also strengthens problem-solving skills, provides exposure to cloud-based data platforms, and teaches students to translate analytical insights into actionable business decisions.
Emerging career opportunitie Data Science With Python Certification Course
- Data Analyst: Analyze business data for insights. Use statistical tools to interpret data trends and support decision-making.
- Machine Learning Engineer: Build predictive models. Design, test, and deploy machine learning algorithms for scalable solutions.
- Business Intelligence Developer: Transform data into actionable insights. Develop dashboards and reports to help stakeholders monitor business performance.
- Python Developer for Data Science: Implement Python solutions. Write efficient code for data manipulation, analysis, and automation tasks.
- Data Engineer: Manage data pipelines and storage solutions. Ensure reliable data flow and integration across multiple systems and platforms.
New frameworks introduced in Data Science with Python Training course
Data Science With Python Course in Online includes Scikit-learn for ML, TensorFlow/Keras for deep learning, Pandas and NumPy for data manipulation, and Matplotlib/Seaborn for visualization. These frameworks enable efficient modeling and deployment. Students also gain experience in API integration, Spark for big data, and cloud-based analytics workflows for enterprise-level projects. Additionally, learning data science with Python enhances career prospects by making you eligible for roles such as Data Scientist, Data Engineer, and AI Developer. With an increasing number of organizations adopting data-driven strategies, professionals with expertise in Python-based data science are in high demand. Whether you are an aspiring data scientist, a working professional looking to upskill, or a business owner aiming to leverage data-driven insights, enrolling in this course can help you achieve your career goals.
Trends and essential skills in Data Science with Python
- Machine Learning & AI Techniques: Build models and predictive analytics. Learn to apply algorithms like regression, classification, and clustering to solve complex problems.
- Data Cleaning & Processing: Transform raw data for analysis. Master techniques to handle missing data, outliers, and ensure data quality.
- Visualization Skills: Represent insights visually for stakeholders. Use tools like Tableau, Power BI, or Matplotlib to create impactful charts and dashboards.
- Statistical & Mathematical Analysis: Support data-driven decision-making. Understand probability, hypothesis testing, and linear algebra fundamentals essential for modeling.
- Project Implementation Skills: Real-time datasets for hands-on practice. Work on end-to-end projects to gain practical experience in deploying data solutions.
Applications and uses Data Science with Python Certification
Data Science With Python Certification in Online prepares learners to implement data-driven solutions in healthcare, finance, marketing, and IT sectors. Participants can analyze trends, predict outcomes, and make strategic decisions based on data insights. They also develop skills to improve operational efficiency, optimize marketing campaigns, and support executive decision-making through analytics dashboards. Matplotlib and Seaborn are essential for data visualization, while Jupyter Notebooks provides an interactive environment for coding and analysis. Apache Spark and Dask help process large datasets efficiently, and cloud platforms like AWS and Google Cloud offer scalable computing resources for data science projects. NLP libraries such as SpaCy and NLTK are widely used for text analysis, while OpenCV plays a crucial role in computer vision applications.
Career Opportunities After Data Science with Python Training
Data Scientist
A Data Scientist is responsible for extracting insights from large datasets by applying machine learning algorithms, statistical analysis, and data visualization techniques.
Machine Learning Engineer
A Machine Learning Engineer specializes in building and deploying machine learning models for real-world applications. They work with Python frameworks like Scikit-Learn.
Data Analyst
A Data Analyst collects, processes, and interprets data to help organizations make informed decisions. They use Python, SQL, and visualization tools like Matplotlib and Seaborn.
AI Engineer
An AI Engineer focuses on developing artificial intelligence applications, such as chatbots, recommendation systems, and automation solutions. They use deep learning frameworks like TensorFlow, Keras, and PyTorch to build and train neural networks.
Business Intelligence
A BI Developer designs and maintains business intelligence tools and analytics dashboards. Using Python, SQL, and BI tools like Power BI and Tableau, they transform raw data into meaningful reports for business leaders.
Data Engineer
A Data Engineer builds and maintains the infrastructure for data generation, storage, and processing. They work with Python, Spark, and Hadoop to create scalable data pipelines that support machine learning and analytics tasks.
Skill to Master
Python Programming
Data Manipulation
Statistical Analysis
Data Visualization
Exploratory Data Analysis
Machine Learning
Big Data Processing
Deep Learning
Natural Language Processing
Database Management
Cloud Computing
Real-World Data Science
Tools to Master
NumPy
Pandas
Matplotlib
Seaborn
Scikit-Learn
TensorFlow
Keras
PyTorch
Statsmodels
NLTK
Apache Spark
Jupyter Notebook
Learn from certified professionals who are currently working.
Training by
Ganesh, having 7 yrs of experience
Specialized in: Data Science with Python, Machine Learning, Data Analysis, and Model Deployment.
Note: Ganesh is recognized for his deep expertise in Python-based data science applications, including predictive analytics, AI model training, and large-scale data processing. He has successfully trained professionals across multiple industries and has helped organizations implement efficient data-driven solutions.
We are proud to have participated in more than 40,000 career transfers globally.
Data Science with PythonCertification
Yes, Data Science with Python Training course guarantee a job. It increases employability and showcases proficiency in Python-based data science to recruiters.
Familiarity with basic programming, knowledge of statistics, and logical thinking skills are recommended. Understanding of data handling and analysis is beneficial.
Yes, Data Science with Python Course Training exam is online, featuring multiple-choice questions, coding challenges, and project submissions.
Absolutely. Data Science with Python Course Training equips learners with practical skills, real-world project experience, and opens career opportunities in data science, analytics, and machine learning.
Frequently Asked Questions
- No prior experience is required; beginners can start from basic Python programming. The course gradually builds your skills up to advanced data science applications.
- You will complete multiple hands-on projects that can be included in your portfolio.
- These projects showcase your Python and analytics skills to potential employers.
- Yes, a recognized certificate is provided upon successful completion. It validates your proficiency in Python and data science techniques.
- Yes, you can pursue roles such as Data Scientist, Data Analyst, Python Developer, or Machine Learning Engineer. These skills are highly in demand across industries.