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TROMENZ is one of the leading providers of professional education in IT, Software Development, Project Management, Quality Assurance.

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Overview

Tromenz designed this cloud certification training for anyone interested in learning to deploy, manage, and operate scalable, highly available, and fault-tolerant systems on Amazon Web Services. By the end of the course, you’ll be prepared to pass the newly released associate-level AWS Certified SysOps Administrator exam.

Tromenz Learning is your gateway to mastering AWS SysOps through our comprehensive "Data Science With Python Certification" Training Our esteemed "AWS SysOps Associate Course Team," comprising approximately 18 experienced trainers, each boasting over two decades of expertise in cloud computing and AWS technologies, has meticulously crafted this program.


The AWS SysOps Associate certification validates your ability to efficiently manage and maintain AWS operations. It signifies your commitment to ensuring system reliability, optimizing performance, and safeguarding AWS applications. Achieving this certification not only broadens your career prospects but also demonstrates your expertise in AWS SysOps.

At Tromenz Learning, we take immense pride in being the preferred choice for AWS SysOps training. Our program equips you with advanced AWS SysOps principles, hands-on experience with AWS services, and the skills necessary to excel in the AWS SysOps Associate certification exam. Embark on a transformative journey of professional growth with us, where you'll emerge as a proficient AWS SysOps professional, capable of managing and optimizing AWS operations effectively. Your path to success begins here.





Key Giveaways

     68 hours of blended learning

     4 industry-based projects

     Case Studies based on the latest scenario

     Interactive learning with Jupyter notebooks labs

      Lifetime access to self-paced learning


       Dedicated mentoring session from faculty of industry experts

       24x7 support

       Authorized material

       100% support from the authorized trainer




      Steps To Get Certified




      Pre-requisites

      • Anyone with 0-3 years of work experience
      • College students in the last year of their graduation or post-graduation
      • Anyone looking for a career transition to data science and machine learning
      • IT professionals
      • Technical and Non Technical domain professionals/freshers can also apply 
      • Freshers who want to pursue a career in data science and machine learning

      How to Learn Python for Data Science

      Step 1: Learn Python Fundamentals

      Step 2: Practice Mini Python Projects

      Step 3: Learn Python Data Science Libraries

      Step 4: Build a Data Science Portfolio as you Learn Python



      Training Partner

      Tromenz Learning has been approved as a training provider by leading regulatory authorities all over the world. The organization's objective is to deliver high-quality training to professionals on a global basis.

      Market Leaders

      In more than 180 countries, Tromenz Learning dominates the industry in providing more than 100 courses. Through this market brand, more than 5000 clients receive accreditation each year. Our goal is to close the skill gap by empowering human capital through nationally and internationally recognized industry-accredited courses.

      Licensed Instructor

      To empower each student, Tromenz Learning has recruited the top coaches in the industry. Our instructors have more than 20 years of experience in the field and are accredited with the respective regulating authorities.

      Success Guarantee

      The main principle of Tromenz Learning is "Your success is our passion." Through our elite instructors, up-to-date, on-demand content, accreditation through recognised bodies, localised distribution, and a solid technological infrastructure, we provide value for professionals through which we carry 100% passing ratio in the exams.

      Strategic Partners

      Tromenz Learning has collaborations with prominent market bulls. When an organization needs consulting or training services to improve employee productivity and foster corporate success, Tromenz is a valuable extended solutions partner.

      Course Curriculum




      Data Science with Python for Career Growth

      2022 is expected to see 3.7 million unfilled positions in the fields of data science, data analysis, and related fields. Employer demand for data scientists and data engineers is expected to increase by 39% by 2022. A prospective annual salary that is on average $8,736 higher than that of all other bachelor's degree positions.



      Course Objectives

      • Gain an in-depth understanding of data science methods, data wrangling, data exploration, data visualization, hypothesis building, and testing. You’ll additionally learn the fundamentals of statistics.
      • Install the specified Python environment and other auxiliary tools and libraries
      • Understand the essential ideas of Python programming like data types, tuples, lists, dicts, basic operators, and functions.
      • Perform high-level mathematical computing using the NumPy package and its massive library of mathematical functions
      • Perform scientific and technical computing using the SciPy package and its sub-packages like Integrate, Optimize, Statistics, IO, and Weave.
      • Gain experience in machine learning using the Scikit-Learn package
      • Extract useful data from websites by performing web scrapping using Python

      What roles can a Data Science professional play?

      Machine Learning Expert

      With the help of several machine learning tools and technologies, they build statistical models with large chunks of business data.

      Senior Data Scientist

      They understand the issues and create models based on the data gathered and manage a team of data scientists.

      Applied Scientist

      They design and build machine learning models to derive intelligence for the services and products offered by the organization.

      AI Expert

      They build strategies on frameworks and technologies to develop AI solutions and help the organization prosper.

      Big Data Specialist

      They create and manage pluggable service-based frameworks that are customized to import, cleanse, transform, and validate data. 




      Not sure how to get started? Let our Learning Advisor help you.

      Contact Learning Advisor



      Testimonial

      Learning Data Science by Tromenz platform is a good decision I have taken. Training is excellent and I am 100% satisfied with the services. Would like to recommend it to everyone.

      Yasser Ali

      Tromenz learning provides the best training with best set of trainers. Great learning experience through Tromenz. Looking forward to do more trainings and certifications with them. Cracked my Data science exam today.

      Akanksha M

      Best Company. It was really good experience learning in Tromenz. I completed my Data Science course with them. Gained all the knowledge and happy from the support. Thank you very much.

      Fadil El

      Data Science with Python course was exemplary knowledgeable and updated with recent industry practices . I have cracked my exam in first attempt. Thank you so much Surabhi for all your support.

      Aadil shaikh

      Working with Tromenz for the last 6 years. Attended 8 courses till now and the last one was Data Science. Thanks a lot for all your support. I will keep purchasing courses from Tromenz Learning. Thank you again.

      Francois Georges

      Todays discussion with Tromenz Learning representative was very fruitful to get expertise in data science, and Tromenz has provided good platform to provide career oriented coerces which are really required now a day. I also family member of Tromenz to learn master course in data science, it is really good and knowledge oriented. Trainer is also good to deliver contents of the course in well organised manner.

      Amr Al Shormani

      Registered for Data Science certification courses. The enrolment process was seamless and looking forward to have a wonderful learning experience with Tromenz. I am very happy to work with this organisation.

      Rukhshi Khan

      I joined the Data Science course. The instructor taught me the course in effective way. It helped me to understand easily. All the class videos are still available. The service and follow ups from the Tromenz Team is fantastic.

      Mehak Gandhi

      It was an excellent experience after learning Data Science course., The instructor was humble and very well in handling queries. Experience-based training by keeping in mind students were from multiple background.

      Rohini Sukha



      FAQs

      In terms of business and job opportunities, data science is one of the emerging fields. Python is a popular programming language that has evolved into the language of choice for data scientists. Learning Python with Data Science increases your chances of being hired as a skilled data scientist. 

      The Data Science with Python course has been thoughtfully designed to prepare you to take on significant roles in top tech companies as a dependable Data Scientist. You will be able to do the following at the end of the course: 

      • Create Python programmers: distribution, user-defined functions, dataset import, and more. 
      • Using the Pandas library, you can manipulate and analyses data. 
      • Python libraries for data visualization include Matplotlib, Seaborn, and pilot. 
      • Data distribution: variance, standard deviation, and interquartile range 
      • Hypothesis testing is used to calculate conditional probability. 
      • Variance Analysis (ANOVA) 
      • Creating linear regression models, assessing model parameters, and calculating performance metrics 
      • Making Use of Dimensionality Reduction Techniques 
      • Creating Binomial Logistic Regression models, assessing model parameters, and calculating performance metrics
      • Creating KNN algorithm models to determine the best value of K 
      • Developing Decision Tree models for both regression and classification issues 
      • Create Python programmed: distribution, user-defined functions, dataset import, and more.
      • Using the Pandas library, you can manipulate and analyses data. 
      • Data visualization libraries for Python include Matplotlib, Seaborn, and pilot. 
      • Create data distribution models such as variance, standard deviation, and interquartile range.
      • Hypothesis Testing is used to compute conditional probability. 
      • Conduct a variance analysis (ANOVA) 
      • Create linear regression models, test model parameters, and track performance metrics. 
      • Make use of Dimensionality Reduction. 
      • Create Logistic Regression models, test model parameters, and track performance metrics. 
      • Apply K-means Hierarchical Clustering and Clustering 
      • Create KNN algorithm models to determine the best value of K. 
      • Create Decision Tree models that can be used for both regression and classification problems.
      • Our programmers is tailored to people with varying levels of Data Science expertise. The data science with Python course covers everything you need to know, whether you're a beginner or an expert, from the fundamentals to advanced concepts in Data Science.

      Yes, our applied Data Science with Python course is designed to give you the freedom to advance at your own pace. We have weekday and weekend batches to accommodate your current work schedule.

      There are no prerequisites for this practical Data Science with Python certification course, but prior knowledge of basic programming, preferably in Python, would be beneficial. 

      The technical skills required to become a data scientist are listed below. 


      • Mathematics - While a Ph.D. is not required, a basic understanding of linear algebra, algorithms, and statistics is required. 
      • Machine Learning - Set yourself apart from the crowd by learning ML techniques such as logistic regression, decision trees, supervised machine learning, and so on. These abilities will aid in the resolution of various data science problems. 
      • Coding - A data scientist must be able to manipulate codes in order to analyses data. Python is a popular and simple programming language. 

      You will have the opportunity to work on a capstone project by the end of the course. The project is based on real-life scenarios and is being carried out with the help of industry experts. You will approach it in the same way that you would approach a data science project in the real world.

      The following is a road map to becoming a data scientist: 

      • Getting Started: Select a programming language with which you are familiar. Python is a programming language that we recommend. 
      • Mathematics and Statistics: The science in Data Science is all about dealing with data (whether numerical, textual, or visual), identifying patterns, and establishing relationships between them. You must be familiar with basic algebra and statistics. 
      • Data Visualization: Data visualization is one of the most important steps in this learning path. You must simplify it as much as possible so that the other non-technical teams can understand its contents as well. It is critical to learn data visualization in order to communicate more effectively with end users. 
      • ML and Deep Learning: Having deep learning skills on your CV, in addition to basic ML skills, is a must for any data scientist, as it is through deep learning and ML techniques that you will be able to analyses the data given to you. 


      This course will enable you to: 

      • Gain an in-depth understanding of data science methods, data wrangling, data exploration, data visualization, hypothesis building, and testing. You’ll additionally learn the fundamentals of statistics. 
      • Install the specified Python environment and other auxiliary tools and libraries 
      • Understand the essential ideas of Python programming like data types, tuples, lists, dicts, basic operators, and functions. 
      • Perform high-level mathematical computing using NumPy package and its massive library of mathematical functions 
      • Perform scientific and technical computing using SciPy package and its sub-packages like Integrate, Optimize, Statistics, IO, and Weave. 
      • Gain experience in machine learning using the Scikit-Learn package 
      • Gain an in-depth understanding of supervised learning and unsupervised learning models for example linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline 
      • Use Scikit-Learn package for natural language processing 

      With Tromenz, you can receive your training via its own Learning Management System. Live and interactive instructor-led training is also available in batches. You will have the opportunity to listen, learn, ask questions, and get all of your doubts cleared up by your instructor, who is an experienced practitioner.

      The trainers of our Data Science Python courses are experienced professionals and experts with a wealth of experience leading, applying, coaching, and teaching Data Science Python  Courses. Our team of coaches is dedicated to providing Data Science Python training that meets the high standards set by PMI. No matter who the trainer is or where they are located, all candidates receive the same high-quality content. During your time with them, you will be able to further develop your skills and talents to impact your organization.


      You will receive the  Data Science Python course schedule, workbooks, and all relevant assignments, assessments, or case studies as part of the course materials.

      It is possible to access the course using a phone or tablet as our Learning Management System allows it smoothly; however, it is encouraged to have a desktop computer for a better viewing experience. 


      If you cannot attend a class, you may access the recorded version of the course through the LMS. Every session will begin with a recapitulation of the previous session lasting approximately 10-12 minutes.


      Please feel free to contact us at info@tromenzlearning.com if you have any further questions.

      We offer a 100% money-back guarantee, and all our products are backed by a 100% satisfaction guarantee.

      Scholarships are available to students and veterans with grants ranging from 10% to 50% of the total course fee.

      To apply for the scholarships, please get in touch with us at info@tromenzlearning.com. Forms and instructions will be provided to you by the team. Our panel of experts makes the final decision based on our responses and answers. It is important to note that the entire process could take between seven and fifteen days.

      We offer group discounts for groups as small as three (3) participants—the greater the number of participants attending a training course, the greater the value. In most cases, you will save up to 30% by registering in groups. See the upcoming schedule for more info or mail to info@tromenzlearning.com.

      If you wish to take advantage of the installment option, please get in touch with us at support@tromenzlearning.com. You will explain how the installments work and provide an estimated timeline. Most courses require two to three installments, but the total amount must be paid before completing the course



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