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 |
| Â | Â |
| 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
Talk to Our Career Advisor
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.
