* One Time Payment & Get One year access
Offer ends in:
What you'll get
- 23+ Hours
- 8 Courses
- Course Completion Certificates
- One year access
- Self-paced Courses
- Technical Support
- Mobile App Access
- Case Studies
Synopsis
- Courses: You get access to all videos for the lifetime
- Hours: 23+ Video Hours
- Core Coverage: Learn how to analyze and visualize data using Python libraries.
- Course Validity: One year access
- Eligibility: Anyone who is serious about learning predictive modeling and wants to make a career in the data analytics field
- Pre-Requisites: Basis Statistical concepts and predictive modeling knowledge
- What do you get? Certificate of Completion for the course
- Certification Type: Course Completion Certificates
- Verifiable Certificates? Yes, you get verifiable certificates for each 8 course, Projects with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills
- Type of Training: Video Course – Self Paced Learning
Content
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MODULE 1: Statistics Essentials Training
Courses No. of Hours Certificates Details Predictive Analytics and Modeling with Python 8h 26m ✔ Machine Learning Python Case Study - Diabetes Prediction 1h 02m ✔ Linear Regression & Supervised Learning in Python 2h 28m ✔ Financial Analytics with Python 1h 6m ✔ -
MODULE 2: Logistic Regression & Predictive Modeling
Courses No. of Hours Certificates Details Logistic Regression & Supervised Machine Learning in Python 2h 6m ✔ Predicting Credit Default using Logistic Regression in Python 3h 3m ✔ House Price Prediction using Linear Regression in Python 3h 2m ✔ Sales Forecasting using Time Series Analysis in Python 2h 13m ✔
Sample Certificate
Requirements
- To get started with Predictive Modelling with Python a solid foundation in statistics is much appreciated. It takes a good amount of understanding to interpret those numbers to understand whether the numbers are adding up or not.
- Along with the above-mentioned knowledge, one must know to code in Python.
- Knowing SQL also acts as a complementary skillset.
- Even if someone is not well equipped with the above-mentioned skill, it should not act as a hindrance as everything is possible with an honest effort and strong will.
Target Audience
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- This Predictive Modeling with Python Course can be taken up by anyone who shares a decent amount of interest in this field. The earlier someone starts the further they can reach. In the case of students who are pursuing a course in statistics, or computer science graduates it is a very good opportunity to direct your career in that direction. As this is a much demand skill every IT professional is looking for a good switch and entering the domain of predictive analysis.
- After successfully having hands-on with Predictive Analysis you get open up career opportunities within job roles like that of a Data Analyst, Data Scientist, Business Analyst, Market Research Analyst, Quality Engineer, Solution Architect, Programmer Analyst, Statistical Analyst, Statistician, etc.
* One Time Payment & Get One year access
Offer ends in:
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