Data Science with Python: A Comprehensive Course

Explore the world of Data Science with Proximsoft’s meticulously crafted course. Our Data Science with Python training is designed and delivered by seasoned Python programming experts, ensuring a thorough understanding of data analysis, machine learning, and statistical methods. Whether you’re a beginner or an experienced programmer, this course equips you with the essential tools to become a proficient Data Scientist. Dive into the realms of data transformation, analysis, and visualization, and master the project life cycle with hands-on experience guided by our certified trainers.

Why Learn Data Science with Python?

Python is a crucial skill for Data Science roles, and mastering it opens up diverse career opportunities in the ever-growing field of Data Science.
This course covers a broad spectrum, including data acquisition, analysis, machine learning, project life cycle, and statistical methods, making it a comprehensive learning experience.
Gain expertise in Python’s Data Analytics tools and techniques, essential for succeeding in Data Science roles.
Acquire skills in data transformation, analysis, experimentation, and evaluation through practical exercises and real-world projects.
Python’s popularity in the industry makes it a valuable asset, increasing job prospects and employability.

Mode of Training	Online live Interactive sessions
Duration of the Training	6 weeks
Training duration per day	60 – 90 min session
Software Access	Software will be installed/server access will be provided, whichever is possible
Training Materials	Soft copy of the material will be provided during the training
Training fee	Depends on the Requirement
Resume Preparation	Yes, at the end of the course based on the JD
Interview Preparation	Yes, by sharing some FAQ’s
Mock calls	Yes, 2 Technical Mock calls
Internship Project	Yes
Certification	Yes, at the end of the training
JOB Assistance	Yes
JOB Support	Yes


Weekdays	6AM -2 PM EST & 6-11:30 PM EST (student can pick any 1 hr)
Weekends	8 AM – 12 PM EST (student can pick any 2 hrs)

Course Content

Module 1: Fundamentals of Python Programming

Introduction to Python
Variables, Data Types, and Operators
Control Flow and Loops in Python
Functions and Modules in Python

Module 2: Data Analysis and Visualization

Introduction to Data Analysis
Data Manipulation with Pandas
Data Visualization with Matplotlib and Seaborn

Module 3: Web Scraping, NLP, and Machine Learning

Basics of Web Scraping
Introduction to Natural Language Processing (NLP)
Machine Learning Basics and Algorithms

Module 4: Data Science Project Life Cycle

Data Acquisition and Cleaning
Exploratory Data Analysis (EDA)
Model Building and Evaluation

Module 5: Statistical Methods for Data Analysis

Descriptive Statistics
Inferential Statistics
Hypothesis Testing

Module 6: Conclusion

Recap of Key Data Science Concepts
Tips for Continuous Learning and Skill Enhancement
Career Paths in Data Science
Next Steps for Ongoing Development

FAQ'S

Python is a crucial programming language in Data Science, offering a wide range of libraries and tools for data analysis, machine learning, and visualization. Mastering Python enhances your capabilities as a Data Scientist.

No specific prerequisites are required for this course. It is accessible to learners of all levels, with additional benefits for those who have a liking for mathematics.

The project life cycle covers key stages, including data acquisition, analysis, experimentation, and evaluation. Participants will gain practical experience by working on real-world projects.

Proximsoft provides online support, assistance, and resume and placement guidance to students, ensuring they are well-prepared for job opportunities in the field of Data Science.