Statistical Analysis and Business Applications: Data Science with Python Tutorial

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The Data Science with Python course explores different Python libraries and tools that help you tackle each stage of Data Analytics. Python is a general purpose multi-paradigm programming language for data science that has gained wide popularity-because of its syntax simplicity and operability on different eco-systems. This Python course can help programmers play with data by allowing them to do anything they need with data - data munging, data wrangling, website scraping, web application building, data engineering and more. Python language makes it easy for programmers to write maintainable, large scale robust code.

➡️ About Data Science Course in collaboration with IBM
This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Masterclasses from IBM experts
- Dedicated live sessions by faculty of industry experts
- Industry-recognized Data Scientist Master’s certificate from Simplilearn
- Industry-recognized IBM certifications for IBM courses
- Ask-Me-Anything (AMA) sessions with IBM leadership
- Capstone from 3 domains and 25+ projects
- Exclusive hackathons conducted by IBM
- Lifetime access to self-paced learning content
- Program crafted to initiate your journey as a Data Scientist
- Integrated labs for hands-on learning experience

✅ Skills Covered
- Generative AI
- Prompt Engineering
- ChatGPT
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Explainable AI
- Conversational AI
- Large Language Models
- Model Building and Finetuning
- Ensemble Learning
- Data Visualization
- Database Management

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