PREDICTIVE ANALYTICS
Learning Path | 9 Course Series
This Predictive Analytics Course includes 9 courses with 54+ hours of video tutorials and One year access. You will get to learn the concepts and application of Predictive Modeling tools such as SPSS, Minitab, SAS Enterprise Miner in order to analyze and visualize data using them.
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* One Time Payment & Get One year access
Offer ends in:
What you'll get
- 54+ Hours
- 9 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: 54+ Video Hours
- Core Coverage: Learn the concepts and application of Predictive Modeling tools such as SPSS, Minitab, SAS Enterprise Miner in order to analyze and visualize data using them.
- Course Validity: One year access
- Eligibility: Anyone serious about learning Predictive Analytics and wants to make a career in this Field
- Pre-Requisites: Basic knowledge about Predictive Analytics would be preferable
- What do you get? Certificate of Completion for the course
- Certification Type: Course Completion Certificates
- Verifiable Certificates? Yes, you get verifiable certificates for each 9 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: PREDICTIVE MODELING Essentials Training
Courses No. of Hours Certificates Details Predictive Analytics & Modeling using Minitab 15h 35m ✔ Predictive Analytics & Modeling using SPSS 13h 17m ✔ Predictive Analytics & Modeling with SAS 9h 19m ✔ Predictive Modeling Training 1h 6m ✔ -
MODULE 2: Projects based Learning
Courses No. of Hours Certificates Details Logistic Regression using SAS Stat 4h 26m ✔ Linear Regression & Supervised Learning in Python 2h 28m ✔ Predictive Analytics Model for Term Deposit Investment with R Studio 3h 2m ✔ Predicting Credit Default using Logistic Regression in Python 3h 3m ✔ House Price Prediction using Linear Regression in Python 3h 2m ✔
Sample Certificate
Requirements
- As such, there is no prerequisite for learning from this Predictive Analytics Training, but knowledge of certain technologies and ideas will be helpful while learning this technique.
- An individual should have a keen interest in the field of data science.
- He/She should have a strong grasp of inferential and descriptive statistics.
- Individuals should be familiar with programming languages such as Python and R as well as coding experience in these languages will be quite helpful in the course.
- He/She should have a strong understanding of the basic programming concepts such as variables, conditions, loops, functions, and some basic data structures such as arrays, objects, lists, etc.
- You should be self-driven and always motivated to learn. Participation in this Predictive Analytics Training requires consistently meeting deadlines and you should be devoting at least 10 hours per week to this Course.
Target Audience
- Students: Pursuing his diploma, graduation, or degree in the field of statistics, mathematical modeling, Predictive Analytics, etc. can choose out his way to take up this Predictive Analysis course with all the key concepts and fundamentals being explained in this Predictive Analytics Course.
- Professionals: Who wants to become a Data Analytics, Statistician, or an IT professional looking for a switch in his career in the field of Data Analysis and Predictive Modelling. A research scientist presupposed in Data Analysis, IT specialists, professors, and teachers can opt for this Predictive Analysis Course.
- Beginners: Who has an interest in data and needs to learn to use this data for predictive analysis for predicting future outcomes can go for this Predictive Analysis Course which will provide you a great level of understanding of this technology and its usage through the real-life projects given in the Predictive Analytics Training.
Course Ratings
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Great video learning! It is taught nice and clear. At first a bit slow, but as the course progressed, was the tempo at just the right pace with a good articulation. Content was good, with some nice examples worked out and examples from real life, but could be made more elaborate. Looking forward to more courses of the same teacher.
Nyckees Daan
There are too many good points to list! The course was very relevant to my job and will help me in most aspects of my work. The hands-on practical training sessions were very good. The trainer got the learning message across by breaking everything down into simplified sections.Handout material was very good as there is a lot of information in them that will help me in my job.
SAHIL JAIN
The course was very relevant to my job and will help me in most aspects of my work. The hands-on practical training sessions were very good. The trainer got the learning message across by breaking everything down into simplified sections.Handout material was very good as there is a lot of information in them that will help me in my job.
VAISHNAVI SINGH
This is good course for those who have zero or little knowledge about predictive modeling. It covers most of the algorithms to do predictive modeling. It also provides some examples and sample questions for practice. I wish this could provide more study material, and more practical question.
Lee Tze Hui