Explore Mathematical and Statistical Methods in Data Science and Machine Learning Course

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Data Science and Machine Learning: Mathematical and Statistical Methods Course Overview

The Data Science and Machine Learning: Mathematical and Statistical Methods certification focuses on the integration of mathematical and statistical methods in data science and machine learning. This certification is all about understanding and applying various mathematical models, algorithms, statistical inferences and probability theories to interpret and analyze data, and subsequently create predictive models. Industries use this certification to evaluate a professional's ability to deal with complex data, derive actionable insights, and make data-driven decisions. The application spans across sectors including finance, healthcare, e-commerce and technology, among others, aiding industries to enhance their operations, making them more efficient and effective.

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You will learn:

Module 1: Overview
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Live Online Training (Duration : 24 Hours)
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

1650 + If you accept merging of other students. Per Participant & excluding VAT/GST
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
1250 Per Participant & excluding VAT/GST
Online
09 - 11 Oct 09:00 AM - 05:00 PM CST
(8 Hours/Day)
Online
06 - 08 Nov 09:00 AM - 05:00 PM CST
(8 Hours/Day)
Can’t Attend Live Online? Click to Buy Flexi For Only USD 199 (Video Recording of Live Online)
Data Science and Machine Learning: Mathematical and Statistical Methods
Course Prerequisites
• Strong foundation in Linear Algebra, Calculus, and Probability
• Proficiency in Python or R programming
• Understanding of basic algorithms and data structures
• Knowledge of statistics and statistical modeling
• Familiarity with Machine Learning algorithms
• Experience handling and analyzing real-world datasets.

Data Science and Machine Learning: Mathematical and Statistical Methods Certification Training Overview

Data Science and Machine Learning: Mathematical and Statistical Methods certification training is designed to provide in-depth knowledge on diverse mathematical and statistical techniques used in data science and machine learning. The course covers subjects like probability, statistics, linear algebra, calculus, and machine learning algorithms. It teaches ways to apply these methods for data analysis, predictive modeling, AI-driven decision making, and optimization, focusing largely on real-world applications for better understanding.

Why Should You Learn Data Science and Machine Learning: Mathematical and Statistical Methods?

This course provides comprehensive knowledge in Data Science and Machine Learning, enhancing analytical thinking and problem-solving skills. It enriches understanding of mathematical and statistical methods used in these fields, enabling the development of accurate predictive models and making data-driven decisions. This can potentially open up numerous job opportunities in the ever-growing data sector.

Target Audience for Data Science and Machine Learning: Mathematical and Statistical Methods Certification Training

• Students pursuing degrees in Mathematics, Statistics, or Computer Science
• IT and data professionals looking to expand their skills
• Business analysts seeking to improve decision-making through data
• Researchers dealing with large datasets
• Software engineers wanting to integrate machine learning into applications

Why Choose Koenig for Data Science and Machine Learning: Mathematical and Statistical Methods Certification Training?

- Boost your career with comprehensive trainings in Data Science and Machine Learning with Koenig, ranked among the top training institutes.
- Courses taught by certified instructors with vast professional knowledge and experience.
- Customized training programs tailored to meet the learning curve and schedule of every individual.
- Unique destination training option providing an immersive learning experience.
- Affordable pricing to ensure that high-quality education is accessible to a greater number of individuals.
- Flexible dates to cater to dynamic schedules and deadlines.
- Wide selection of course offerings.
- Accredited training ensuring standard quality and recognition globally.
- Interactive, instructor-led online training, thus making learning accessible from anywhere.

Data Science and Machine Learning: Mathematical and Statistical Methods Skills Measured

After completing the Data Science and Machine Learning: Mathematical and Statistical Methods certification training, an individual can gain skills in various fields like data mining, data analysis, data visualization, prediction models, probability, statistics, machine learning algorithms, and programming languages like Python or R. They can also understand how to use various machine learning libraries and tools. This training can significantly enhance problem-solving abilities, analytical thinking, and the ability to handle large datasets.

Top Companies Hiring Data Science and Machine Learning: Mathematical and Statistical Methods Certified Professionals

Leading companies like IBM, Google, Microsoft, and Amazon are hiring Data Science and Machine Learning professionals with expertise in Mathematical and Statistical Methods. These companies value such credentials for roles involved in building AI programs, predictive modeling, and business strategy development. They offer highly competitive packages and learning opportunities.

Learning Objectives - What you will Learn in this Data Science and Machine Learning: Mathematical and Statistical Methods Course?

The learning objectives of a Data Science and Machine Learning course would typically include understanding and effectively using mathematical and statistical methods for data analysis. These would encompass grasping important concepts such as linear algebra, probability, statistics, calculus, etc., which forms the foundation of machine learning algorithms. Students would also learn how to formulate and solve complex data science problems by applying these mathematical methods. They would also aim to gain expertise in creating predictive models, coding machine learning algorithms, and mastering tools & techniques for handling large datasets. Lastly, students should expect to improve their problem-solving and analytical skills.
Student Name Feedback
Nilesh Padbidri
United States
A1. Very well taught. Good understanding of statistical concepts

FAQ's

Yes, course requiring practical include hands-on labs.
You can pay through debit/credit card or bank wire transfer.
Yes you can request your customer experience manager for the same.
Credit card transactions normally take 48 hours to settle. Approval is given right away; however,it takes 48 hours for the money to be moved.
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
We do accept all major credit cards from Visa, Mastercard, American Express, and Discover.
To receive an acknowledgment of your online payment, you should have a valid email address. At the point when you enter your name, Visa, and other data, you have the option of entering your email address. Would it be a good idea for you to decide to enter your email address, confirmation of your payment will be emailed to you.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes.You can access courseware for most vendors.
You will receive the letter of course attendance post training completion via learning enhancement tool after registration.
Yes, we do. For details go to flexi
Yes you can.
Buy-Now. Pay-Later option is available using credit card in USA and India only.
Yes, if we have an office in your city.
After you submit your payment, you will land on the payment confirmation screen.It contains your payment confirmation message. You will likewise get a confirmation email after your transaction is submitted.
Yes, you can pay from the course page and flexi page.
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We use the best standards in Internet security. Any data retained is not shared with third parties.
You can request a refund if you do not wish to enroll in the course.
Yes, we also offer weekend classes.
Yes, this is our official email address which we use if a recipient is not able to receive emails from our @koenig-solutions.com email address.
Yes, we do offer corporate training More details
Yes, we do.
Yes, we do accept partial payments, you may use one payment method for part of the transaction and another payment method for other parts of the transaction.
Yes, fee excludes local taxes.
Yes, we do.
The Fee includes:
  • Testing Via Qubits
  • Remote Labs
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1 on 1 Public you can select your own schedule, other students can be merged. Choose 1-on-1 if published schedule doesn't meet your requirement. If you want a private session, opt for 1-on-1 Private.
Duration of Ultra-Fast Track is 50% of the duration of the Standard Track. Yes(course content is same).

Prices & Payments

Yes of course.
Yes, We are

Travel and Visa

Yes we do after your registration for course.

Food and Beverages

Yes.

Others

Yes, if you send 4 participants, we can offer an exclusive training for them which can be started from Any Date™ suitable for you.
Medical services in India are at par with the world and are a fraction of costs in Europe and USA. A number of our students have scheduled cosmetic, dental and ocular procedures during their stay in India. We can provide advice about this, on request.
Says our CEO-
“It is an interesting story and dates back half a century. My father started a manufacturing business in India in the 1960's for import substitute electromechanical components such as microswitches. German and Japanese goods were held in high esteem so he named his company Essen Deinki (Essen is a well known industrial town in Germany and Deinki is Japanese for electric company). His products were very good quality and the fact that they sounded German and Japanese also helped. He did quite well. In 1970s he branched out into electronic products and again looked for a German name. This time he chose Koenig, and Koenig Electronics was born. In 1990s after graduating from college I was looking for a name for my company and Koenig Solutions sounded just right. Initially we had marketed under the brand of Digital Equipment Corporation but DEC went out of business and we switched to the Koenig name. Koenig is difficult to pronounce and marketeers said it is not a good choice for a B2C brand. But it has proven lucky for us.” – Says Rohit Aggarwal (Founder and CEO - Koenig Solutions)
All our trainers are fluent in English . Majority of our customers are from outside India and our trainers speak in a neutral accent which is easily understandable by students from all nationalities. Our money back guarantee also stands for accent of the trainer.