Data & AI
Data Science(Big Data) with Python
Our data science, in collaboration with AICTE, is designed to equip you with the skills you need to excel in today’s data-driven world.
4.6
Description
This course offers a comprehensive introduction to Data Science with Python, covering fundamental to intermediate concepts. Starting with Python basics, the curriculum explores essential libraries like NumPy, Pandas, and Matplotlib. You’ll learn data manipulation, exploratory data analysis, and data visualization techniques, alongside key machine learning algorithms such as linear regression, decision trees, and k means clustering.
The course also delves into data preprocessing, model evaluation, and introduces natural language processing and time series analysis. The program culminates in hands-on projects, applying learned skills to real-world datasets.
Key Features
- Earn a prestigious certification recognized by top Companies
- Curriculum delivered in live online sessions by industry experts
- Stay up-to-date with the cutting edge of technology.
- Live sessions by industry experts on the latest trends
- Engage in 3 capstones and 25+ hands-on projects from various industries
- EDXcellence helps you get noticed by top hiring companies
- 8X higher interaction in live online classes by industry experts
- Class will be conducting in the evening after 7 PM
- Recordings of the live classes will be available
- Live doubt clear sessions
Why Join This Program
Expert Data Mentors
Learn from expereinced data scientists and bbig-data engineers shaping analytics, AI and automation in leading companies.
Real-world Data Projects
Build 10+ hands-on projects using real datasets – from exploratory data analysis to predictive modeling and big data pipelines.
Python-Driven Learning
Master Python for Data Science – NumPy, Pandas, Matplotlib, Scikit-learn, PySpark and TensorFlow for data-driven solutions.
Internship & Industry Experience
Collaborate with startups and analytics firms on live big-data projects to gain real-time experience.
Career & Placement Readiess
Get placement assistance, mock interviews and resume reviews to become industry ready ML and data roles.
Capstone & Certification
Complete a full-scale data-driven capstone project and earn an industry-recognized certification validating your big-data expertise.
Industrial Training (Data Science Foundations with Python)
Week 1: Introduction to Data Science & Python Setup
- What is Data Science? Workflow & applications
- Overview of Big Data and AI ecosystem
- Python basics — variables, loops, functions, data structures
- Setting up Anaconda, Jupyter Notebook, and VS Code
- Mini Project: Analyze personal expenditure data
Week 2: Data Handling with NumPy and Pandas
- NumPy arrays & operations
- Pandas Series and DataFrames
- Data cleaning, filtering, grouping, merging
- Importing CSV/Excel data, missing values handling
- Mini Project: Sales data analysis with Pandas
Week 3: Data Visualization
- Matplotlib and Seaborn basics
- Advanced charts (heatmaps, pairplots, barplots)
- Plotly for interactive dashboards
- Project: Visualization Dashboard for COVID-19 Data
Week 4: Statistics & Exploratory Data Analysis (EDA)
- Descriptive statistics (mean, median, std dev)
- Probability distributions, correlation, hypothesis testing
- Detecting outliers and data bias
- Major Project: Student Performance Analysis using EDA
Duration (Machine Learning & Big Data Fundamentals)
Week 1: Machine Learning with Scikit-Learn
- Introduction to ML concepts (Supervised vs Unsupervised)
- Regression and Classification basics
- Linear Regression & Logistic Regression models
- Evaluation metrics (MSE, Accuracy, ROC-AUC)
- Project: Predict house prices
Week 2: Advanced ML Algorithms
- Decision Trees & Random Forest
- K-Means Clustering and PCA
- Model optimization and GridSearchCV
- Mini Project: Customer Segmentation using Clustering
Week 3: Introduction to Big Data Ecosystem
- Big Data overview — Hadoop, Spark, Kafka basics
- HDFS and MapReduce concepts
- Working with PySpark (DataFrames and RDDs)
- Lab: Analyze large CSV files using PySpark
Week 4: Data Pipelines & Feature Engineering
- Data preprocessing techniques (missing data, encoding, scaling)
- Feature importance and dimensionality reduction
- Building ETL pipelines using Pandas and PySpark
- Major Project: Retail Sales Prediction Pipeline
Live + Recording (Deep Learning & Data Engineering)
Week 1: Deep Learning with TensorFlow/Keras
- Neural Networks and activation functions
- Building ANN models with Keras
- Optimization & regularization techniques
- Project: Customer Churn Prediction using ANN
Week 2: Big Data Tools & Visualization Platforms
- Introduction to Apache Spark MLlib
- Real-time data handling with Kafka overview
- Data visualization using Tableau / Power BI / Plotly Dash
- Project: Real-Time Data Dashboard with Plotly Dash
Week 3: MLOps & Model Deployment
- Model saving & versioning (Pickle/Joblib)
- Building Flask/FastAPI ML APIs
- Docker basics for Data Science deployment
- Project: Deploy ML Model on Render/Heroku
Week 4: Capstone Project & Portfolio Development
- Resume + Portfolio creation for Data Science roles
- Integrate ML + Big Data for end-to-end solutions
- Capstone Project Ideas: Big Data Healthcare Predictor, AI-Driven Sales Forecasting System, Real-Time Fraud Detection Pipeline, Social Media Sentiment Analyzer
- Final Presentation & Certification Evaluation
Industry Recognized Certification
Course Instructors
Our courses are led by experienced instructors who bring a mix of real-world industry practice and strong teaching skills. Each mentor has worked on projects, collaborated with teams, and solved practical problems in their field, so you learn what actually matters on the job. They focus on breaking down complex topics into simple, understandable concepts and guiding you step by step through assignments, projects, and doubt-clearing sessions.
Beyond subject knowledge, our instructors are committed to your overall growth. They provide honest feedback, share career tips, and support you through live sessions, community discussions, and one-to-one guidance wherever possible. The goal is simple: to help you build confidence, complete the course with clarity, and be ready to apply your skills in the real world.
John Carter
Skills and Tools Covered
Our Alumni Are Placed At
Pick a program that suits your goal
STEP UP
<2 Months to prepare
- Recorded sessions
- No Live sessions
- 2 projects
- Internships
- 3 certificates
- PLS (Personalized Learning System)
- No Mentor Assistance
- No Doubt clearance session
SWITCH UP
3 Months to prepare
- Live sessions
- Recorded sessions
- 2 Projects
- 4 Certifications
- Lifetime PLS (Personalized Learning System)
- Mentor Assistance
- Doubt clearing sessions
- Pre-placement Assistance
LEVEL UP
3 Months to prepare
- Live sessions
- 2 projects
- 3 certificates
- PLS (Personalized Learning System)
- Mentor Assistance
- Pre-placement Assitance
- No recorded content
WHAT PEOPLE ARE SAYING
Frequently Asked Questions
Who will be our mentor: from the company side or EDXcellence?
Mentors are industry experts as well as representatives from the company associated with your selected project.
How many hours do we need to dedicate daily to complete the prerequisites for the project?
We recommend spending at least 30 minutes to 1 hour daily, depending on the project deadline, to stay consistent.
What is the last date for registration?
The last date for registration depends on the number of seats available. Since students apply from various locations, we recommend booking your seat early.
Mentors are industry experts as well as representatives from the company associated with your selected project.
What are the prerequisites for the live projects?
The prerequisites vary depending on the project. All details will be shared by the respective company on your dashboard.
What if I miss the live classes during the project?
All live sessions are recorded and uploaded on your dashboard. You can access them anytime.
What if I am unable to complete the project? Do I still get certified?
You will get a 15-day extension to complete and submit the project. Once reviewed and approved by the mentor and company, you will receive the certificate
Can I change my domain after registration?
Yes, you can change your domain within 24 hours of registration.
Will the program be recorded or live?
This is a hybrid program. You will need to complete the prerequisites before joining the live classes.
Is an internship guaranteed?
Yes, once your project is reviewed and approved by the company, you will receive a guaranteed internship.
What are the requirements for the classes?
You need a stable internet connection, a laptop or mobile phone, and a notepad with a pen/pencil for taking notes.
What is the duration of the internship?
The internship lasts for two months, during which you will work on a real-life capstone project.
Do I need to appear for an exam before the internship?
No, there is no exam. You just need to complete the prerequisites and submit the live project.
What will be the timing of live interactive sessions during the internship?
Live sessions are usually held in the evenings. You will be notified in advance via email and WhatsApp/Telegram. Recordings will be available on your dashboard.
Will the internship be online or offline?
Most internships are online to avoid travel and accommodation challenges, making it convenient for students.
Do we get any stipend during the internship?
Yes, the stipend ranges from ₹5,000 to ₹15,000, based on your performance and project completion.
What are the chances of getting a PPO (Pre-Placement Offer)?
Your performance will be reviewed by the mentor and company SPOC. If your performance meets their standards, you may be offered a PPO after clearing the interview and hiring rounds.
Can we use the live industrial project as a Minor/Major project?
Yes, you can submit your project as your Minor/Major project.
Which certificate will I get after the internship?
You will receive an Internship Completion Certificate from the respective company.
How do I contact the company or mentors?
You can raise your queries via the student dashboard. All learning materials, projects, and certificates will be accessible there. Lifetime access is provided.
Do I have to pay any additional charges after the full payment?
No, our partner companies do not charge any additional fees post-payment.
Who can I contact for more information?
You can reach us at support@edxcellence.org.in or call the number listed in the ‘Contact Us’ section.
Is EDXcellence a trustworthy platform?
Yes, EDXcellence is a trusted platform that has partnered with reputed companies to provide live projects and internships. We have helped numerous students achieve their career goals through hands-on learning and industry exposure.
How can I trust that this is the right platform?
EDXcellence is an AICTE-approved organization, and our programs are designed to bridge the gap between academic learning and industry requirements. Our transparent processes, industry partnerships, and success stories from previous students validate our credibility. You can also find testimonials and reviews on our website and social media platforms.
What makes EDXcellence unique?
We provide real-world industry projects, guaranteed internships, and opportunities for PPOs. With live and recorded sessions, a dedicated support team, and a focus on practical learning, we ensure you gain valuable experience and certifications.
Are payments secure on EDXcellence?
Yes, all payments are processed through secure and reliable payment gateways. Your information is safe with us.
Who can I contact if I face issues?
You can email us at support@edxcellence.org.in or raise a ticket through your dashboard for any assistance. Our support team is always ready to help.
