100% Practical | Real-world Projects | Certification

Data Science with Machine Learning

Master data analysis, visualization, and predictive modeling with Python

Python Pandas NumPy MySQL Jupyter TensorFlow
import pandas as pd
df = pd.read_csv()
model.fit(X_train, y_train)
plt.plot(x, y)
SELECT * FROM
from sklearn import svm
np.array([1,2,3])
model.predict()

Course Overview

This comprehensive Data Science course teaches you to extract insights from data using Python, statistical analysis, and machine learning. Through hands-on projects with real datasets, you'll gain practical skills in data manipulation, visualization, and predictive modeling.

70+ Hours

Intensive training with practical exercises

Real Datasets

Work with industry-relevant datasets

ML Models

Build and deploy machine learning models

Certification

Industry-recognized credential

Data Science Course
Live Classes Starting Monthly
New
Batch!

What You'll Learn

Master these essential skills to become a professional Data Scientist

Data Analysis

Master Excel and Python for data cleaning, transformation, and exploratory analysis.

Data Visualization

Create insightful visualizations with Matplotlib, Seaborn, and Plotly.

SQL for Data Science

Query and manipulate data in MySQL databases for analysis.

Machine Learning

Implement ML algorithms with Scikit-learn for predictive modeling.

Feature Engineering

Transform raw data into meaningful features for better models.

Model Evaluation

Assess model performance using appropriate metrics and techniques.

Course Syllabus

Comprehensive curriculum covering data science and machine learning fundamentals

Module 1: Introduction to Data Science

Module 2: MS EXCEL

Module 3: Introduction to Python

Module 4: Python Basics

Module 5: Python Control Statements

Module 6: Advanced Python

Module 7: Algorithmic Thinking with Python

Module 8: NumPy – Introduction

Module 9: NumPy – Creation

Module 10: NumPy – Operations

Module 11: NumPy – Functions

Module 12: PANDAS – Introduction

Module 13: PANDAS – Creation & Manipulation

Module 14: PANDAS – Grouping & Handling Data

Module 15: Matplotlib – Introduction

Module 16: Matplotlib – Properties

Module 17: Matplotlib – 2D Plots

Module 18: Matplotlib – 3D Plots

Module 19: MySQL Database – Introduction

Module 20: MySQL Database – CRUD Operation

Module 21: Machine Learning

Module 22: Scikit Learn – Introduction

Module 23: Scikit Learn – Supervised Machine Learning

Module 24: Scikit Learn – Unsupervised Machine Learning

Module 25: Scikit Learn – Model Evaluation and Tuning

Module 26:Real Time Project

import pandas as pd
model.fit(X_train, y_train)
plt.scatter(x, y)
SELECT AVG(price) FROM
from sklearn.ensemble import

Ready to Launch Your Data Science Career?

Join our next cohort and master data science with Python and machine learning.

Limited seats available for the next batch starting 1, November 2025

Get In Touch

We'd love to hear from you

Our Location

1st Floor, Mallemudi Vari St, BesideNH5, Ramavarapadu, Vijayawada, Andhra Pradesh 521108

Call Us

+91 7702570023

Email Us

info@mohansoftwaresolutions.com

mohansoftwaresolutions@gmail.com