df.groupby('category').mean()
model.fit(X_train, y_train)
accuracy_score(y_test, y_pred)
import pandas as pd
sns.heatmap(corr_matrix)
KMeans(n_clusters=5)
plt.scatter(X, y)
RandomForestClassifier()
train_test_split(data, 0.2)
LinearRegression().fit(X, y)
📊
✨ Now Enrolling — Batch 2026

Data Science &
Machine Learning

Transform raw data into powerful insights. Learn Python, ML, and real-world analytics from industry experts.

⏱️ 6 Months Training
📈 High Demand Career
💰 Top Salaries
🤖 Real ML Projects
Enroll Now → View Curriculum
6
Months Duration
8
Course Modules
7+
Tools & Libraries
3+
Real ML Projects
About the Course

What is Data Science?

Data Science is the art of uncovering insights and trends hidden behind data. It's one of the most in-demand careers globally as businesses increasingly rely on data for decision-making. This course takes you from zero to job-ready with hands-on, practical training.

📈
High Demand
💰
Top Salaries
🚀
Future-Proof
Who Should Enroll?
🎓
Students
Pursuing any degree
💼
Graduates
Fresh or experienced
⚙️
Engineers
Looking to upskill
📊
Analysts
Wanting to level up
Skills You Will Learn
Data Analysis
Statistics
Machine Learning
Data Visualization
Predictive Modeling
Python
Course Curriculum

8 Power-Packed Modules

A structured path from Python basics to deploying real machine learning models.

1
🐍
Python for Data Science
Python basics, NumPy, and Pandas — the core toolkit every data scientist must master.
2
🔍
Data Analysis
Data cleaning, preprocessing, and exploratory analysis to uncover hidden patterns.
3
📐
Statistics
Probability, distributions, and hypothesis testing — the math behind the models.
4
📊
Data Visualization
Matplotlib, Seaborn, and interactive dashboards to tell compelling data stories.
5
🤖
Machine Learning
Supervised & unsupervised learning, regression, and classification algorithms.
6
🌲
Advanced ML
Decision trees, random forests, boosting, and clustering techniques for complex data.
7
🗃️
Real World Projects
Working with real datasets and building end-to-end predictive models from scratch.
8
🚀
Deployment
Model deployment, API integration, and project presentation for job interviews.
Tech Stack

Tools & Technologies

Industry-standard Python ecosystem tools you'll be fluent in by graduation.

🐍Python
🔢NumPy
🐼Pandas
📊Matplotlib
📉Seaborn
🤖Scikit-Learn
📓Jupyter
🔬SciPy
Real-Time Projects

Build a Data Portfolio

Portfolio-ready projects powered by real datasets — the kind employers actually look for.

🛍️
Sales Prediction Model
Forecast future sales using regression and time-series analysis on real retail datasets.
👥
Customer Segmentation
Apply clustering algorithms to group customers by behavior and purchase patterns.
🎬
Recommendation Engine
Build a collaborative filtering recommender system similar to Netflix or Amazon.
6
Months of Intensive Practical Training
Hands-on labs · Real datasets · Project-based learning · Career guidance
Career Opportunities

Your Next Role in Data

Data roles are among the highest-paid positions globally. Here's where you could land.

🧠
Data Scientist
ML Models · Statistical Analysis · AI
📊
Data Analyst
Insights · Reporting · Dashboards
🤖
ML Engineer
Model Deployment · Pipelines · MLOps
📈
Business Analyst
Strategy · Data-Driven Decisions
Why BE6

Why Choose BE6 Technologies?

We don't just teach concepts — we build careers through real-world, practical experience.

👨‍🏫
Hands-on Practical Training
Every session involves coding, data, and building — not just watching slides go by.
🗃️
Real-World Datasets
Work with actual industry datasets so your skills translate directly to the job.
🏆
Expert Instructors
Learn from data professionals who have built and shipped models at real companies.
🤝
Dedicated Career Guidance
Resume reviews, mock interviews, and placement support until you land the role.