Predictive Modeling Course

Predictive Modeling Training Course

This Online Predictive Modeling Course includes  4 comprehensive Predictive Modeling courses with 40+ hours of video tutorials and Lifetime Access. It is an amazing collection of practical and hands-on learning of the most updated training programs and projects in the area of predictive modeling using tools such as SAS, Minitab, SPSS. You will also get verifiable certificates (unique certification number and your unique URL) when you complete each of the 4 courses. This course will help you learn to interpret data for statistical analysis.

Predictive modeling is a very important skill set to possess these days. With the advent in machine learning technologies and proliferation of data, application of these techniques is increasing multifold and so the requirement for qualified professionals is also increasing.

This course on predictive modeling is, thus, a great learning resource for students and professionals who want to upskill themselves in the area of predictive modeling and machine learning. The course delivers more than 40 hours of quality lectures which covers a wide area of predictive modeling such as introduction to predicting modeling and how various modeling techniques can be applied in different tools such as SAS, SPSS and Minitab.  As the predictive analytics course covers three widely used tools as mentioned above, it caters to the need of a wide range of people who needs one or more of these tools to learn.  The total number of videos in this predictive modeling course is about 280 and thus one can imagine the breadth and depth of the coverage of the subject. Each video lecture is designed to provide enough treatment on the subject without overwhelming the students.

In this section, each module of the Predictive Modeling training is explained briefly.

Here, we provide more details on the predictive modeling course content and explain at a very high-level what concepts will be covered under each course. This should give a fair understanding to the prospective students on what they can expect from this course and how useful will it be for their career goal.

Certificate of Completion

Pre-requisites to Predictive Modeling Training

There are some pre-requisites for this predictive modeling training course which must be fulfilled otherwise the understanding, of course, could become difficult for some students. Do not worry, the pre-requisite is not very difficult and almost anyone can qualify for that. If not, you can enroll for a bridge course or learn the pre-requisite first and then enroll for this predictive modeling course. These pre-requisites are: –

• Basic statistics understanding such as mean, median, mode, standard deviation is required. If you have forgotten these simple terms, you can revise your high school statistics class or see a couple of videos on YouTube. These concepts, however, will again be covered in this predictive modeling course, but some previous understanding is good to start with.
• Familiarity with excel is also a good thing. You will not learn excel but you will use excel data in Minitab, SPSS, and SAS too. So, some understanding of MS Excel is needed. If you know VBA tool-pack in excel then it is an added advantage, but not mandatory.
• Because machine learning is based on mathematics and hence it is good that you know the basics of linear algebra such as matrix and determinants, simple calculus like what is differentiation etc.
• Exposure to one programming language is necessary. If you have studied C or C++ in college that should be sufficient.

Target Audience for this Predictive Modeling Course

This course is suitable for a wide range of audiences. In this section, we specifically explain this to ensure you know if you are suitable for this predictive modeling training.

• Students from technical or computer science fields are highly welcome, similarly, those from mathematics or statistics background is highly suitable. Most commonly students have a degree in B. Tech / BCA/ B.Sc./ MCA/ M. Sc/ M. Tech or MBA degree.
• Entry level working professionals from the software field, banking, insurance, share market, information technologies who want to migrate to data analysis is also very suitable and they comprise a major chunk of our class size.
• The predictive modeling course is also suitable for managers and seasoned industry professionals who want to be a consultant or data scientist.
• People form engineering, biotechnology, law, medicine, theoretical computer science, geology, and ocean studies also take this predictive modeling training to do data analysis in their respective fields.
• Our past students have been Pharma and research scientists, Professionals of Equity Research and charted financial accountants, Quantitative and Predictive Modelers and Professionals from these domains.

Predictive Modeling Course FAQ’s- General Questions

In this section, we list out some of the common questions frequently asked by students before enrolling for this course: –

• Will this predictive modeling course teach me real-life scenarios of predictive modeling?

Yes. The predictive modeling course teaches all concepts with several live data from industry and explains many case studies in lecture. Thus, it is very practical and actual real-life scenarios. For example, it takes stock data and then explains how time series modeling can be done on it.

• Is the field of predictive modeling in demand these days?

Predictive modeling is a lot in demand. Almost all IT companies are starting with Machine learning and hence they need trained people. Few years down the line, when all these companies will be established with ML, then they will already have enough ML people and hence the right time to learn this skill is NOW.

• Will the predictive modeling training help me with practical skills or only theoretical knowledge?

The predictive modeling course covers both practical as well as a theoretical skill because both are important. It teaches three software tool Minitab, SPSS and SAS so you can understand that it is very practical as each example is demonstrated in this software.

• How much time would I need to spend on this in a week?

Typically, you would need to spend 4-5 hours per week, but you can do more or less. As the predictive modeling course is self-paced that should not be a problem.

• Will I be able to manage this predictive modeling course with a full-time job?

Time management is a personal thing and if you are determined for it, you can do so. We can say from our experience of teaching hundreds of students that it is possible and doable. As the predictive modeling course is self-paced and comes with a lifetime validity you can certainly manage with your job and other responsibilities.

Sample Preview of this Predictive Modeling Course 

Career Benefits of this Predictive Modeling Course

Many of our previous students have achieved great career success with this predictive modeling training course and realized their dream of becoming a data analyst and data scientist. Thus, you can very much rely on the career benefits and waste no time in the dilemma. Usually, career benefits come in one of the three terms below: –

1. Job change: – You can switch to a more happening job after this course. As soon as you finish the predictive modeling course you can start attending interviews and look out of jobs. People usually become senior data analysts, associate data scientist, data scientist and data visualization expert after taking this predictive modeling course.
2. Salary hike: – With a new job, you get better pay. Usually, such skills are paid higher compared to usual software jobs and hence you can expect up to 30-50% hike in your salary.
3. Promotion: – if you show enough enthusiasm, you can get promoted in the current role, get more responsibility and raise the corporate ladder.

Job satisfaction is a great benefit from this field as happiness ratio is highest currently.

Predictive Modeling Course Testimonials

Great course

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.
Linked

Nyckees Daan

Predictive Modeling

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.
Linked

Lee Tze Hui

Completion of predictive modeling and implementation using excel.

In this course named “Predictive modeling and implementation using MS excel”,i learned about the statistical calculation using excel. the course is very comprehensive and easy to memorize because of the expertise of the lecturer. with this course i can avoid many error when doing statistical calculation like Anova. it also helps me to save time. THANKS EDUCBA
Linked

SEYNI SOULEY BOUBACAR

Great Experience

The course helped me to get insights on the various hypothesis that are done to do the predictive analysis which helps us to make observations and also make predictions and analyze the behavior of the trend, also working on minitab was a great experience wherein getting the descriptive analysis is much more easier than excel.
Linked

Atish Palav

Great refresher course

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.
Linked

VAISHNAVI SINGH