No prior education is required to take the training on Data Scientist. However, some skills known to the trainee will be advantageous as it would help them get a better understanding of the concepts taught in the training. This way you will feel that the concepts taught are very easy. Following skills are preferred -
With the help of Data Science Training the trainee will be able to master deployment of R statistical computing, Machine Learning Algorithms, Connecting R with Hadoop Framework, Data Analysis, Time-series analytics, Business Analytics and many other concepts. The Data Science online course will help you secure a certification that will be beneficial for the real world. Hands-on training is provided with the help of practical projects in different domains of banking, e-commerce, entertainment, etc. The training is provided by data scientists who are one of the best trainers in the industry. After the completion of the training, practical projects will be provided to have an understanding of real world scenarios.
Data Science is referred to the study of data that involves various methods of storing, recording and analyzing data that can be used to extract information. Data Science has an objective of gaining insights and knowledge on different types of data that are both structured and unstructured. It is somewhat related to computer science but is a bit different field. It is more closely related to the field of statistics of mathematics that includes analysis and presentation of data. The company may use some scientific methods to run various tests required.
Various objectives are served through the Data Science Online Training. An in-detail understanding is provided on various concepts of Data Science. Major objectives served by taking up the online training provided by SV Soft Solutions are -
Data Scientists are much in demand and the industry is booming with great opportunities for professionals who want to make a career in this field. Top MNCs are looking to hire Data Scientist and the market is expected to grow well in the near future. Following are the advantages of taking up Data Science Training -
People who can obtain maximum benefits by opting to learn Data Science are listed below. Get certified in Data Science and following job roles can be benefitted -
Several topics are taught in the course provided by SV SOft Solutions. However, it is important that the trainees should keep themselves updated by learning new technologies that comes in the field so that they can also make advancements in their career. Various programming languages are also learned based on specializations. Other things learned are -
We are delighted to welcome you into the first course of the EdX / UC San Diego MicroMasters in Data Science: Python for Data Science. In this course, you will learn both the basics of conducting data science and how to perform data analysis in python.
Ilkay Altintas, Chief Data Science Officer, San Diego Supercomputer Center (SDSC)
Leo Porter, Assistant Teaching Professor, Computer Science and Engineering DepartmentTeaching Assistants
Alok Singh, Computational Data Science Research Specialist, SDSC Andrea Zonca, HPC Applications Specialist, SDSC
Your knowledge need not be extensive, but we'll assume you already know how to:
If you are unfamiliar with python, we have an entire week (Week 2) dedicated to getting you up to speed with basic programming in python. If you find that Week 2 progresses too quickly and you need more help with basic programming, you may wish to try an introductory programming course in python before starting this course on Python for Data Science.
This course will introduce you to the field of data science and will prepare you for the next three courses in the MicroMasters: Statistics, Machine Learning, and Spark.
First, and foremost, you'll learn how to conduct data science by learning how to analyze data. That includes knowing how to import data, explore it, analyze it, learn from it, visualize it, and ultimately generate easily shareable reports. We'll also introduce you to two powerful areas of data analysis: machine learning and natural language processing.
To conduct data analysis, you'll learn a collection of powerful, open-source, tools including:
And you won't be learning these tools in isolation. You will learn these tools all within the context of solving compelling data science problems.
By the end of the course, you should be able to find a dataset, formulate a research question, use the tools and techniques of this course to explore the answer to that question, and share your findings.
The course is broken into 10 weeks. The beginning of the course is heavily focused on learning the basic tools of data science, but we firmly believe that you learn the most about data science by doing data science. So the latter half of the course is a combination of working on large projects and introductions to advanced data analysis techniques.
We know you’re interested in Data Science because, well, you signed up for this course. But we also know many MOOC learners already have full lives – and that sometimes that can make it hard to “stick with” a course.
We want you to know that we have specifically designed this course to give you the excuse and the incentive to stick with us to the end! Let us tell you about that:
to?” We also know from research on learning that to really learn something you have to test yourself on it (called retrieval learning). So we’ve made two kinds of quizzes. You'll find “practice quizzes” (presented as polls) sprinkled throughout the course and you'll have end-of-week, Check Your Knowledge, quizzes to test your knowledge. 30% of your grade comes from six Check Your Knowledge quizzes (you can drop one).
Finally, there are a number of practice activities for you to do throughout the course. We already mentioned the practice quizzes (aka polls) sprinkled throughout the weeks, but there will also be exercise notebooks for you to work through on your own and, in the notebooks we work through in the videos, suggestions on ways to explore the dataset(s) in more depth.
To earn a verified certificate for this course, you need to be enrolled as part of the verified track, complete identity verification before you take the proctored final exam, and earn a passing grade. If you are auditing the course, you will not receive a certificate.
This course is offered for a letter grade as follows:
|Grade||Percent of Available Points|
Passing Grade: You must score 70% or above to pass the course.
We expect this course will take you 8-10 hours per week to complete.
This course is self-paced, so there are no deadlines for any specific assignment. This course will be open until December, 2017. Shortly after that we expect to re-open the course, self-paced, with updates.
General Discussion Forum: Please reach out to us through the discussion forum with any questions about the course content. Please allow 24 hours to receive a response from the Teaching Team. Also, all communication on the discussion forum must follow the edX Honor Code. Never post code or solutions to assignments on the discussion forum.
You are in this course because you want to learn and we want to do everything we can to help you learn. In order for that to happen, you need to do your own work and not help other people do work they should be doing.
As we tell our in-person students, focusing on course grades and course credit is short-sighted. We take courses to learn new skills and to learn new ways of thinking about the world. Yes, you get grades for your work in a course. But grades and course credit just helps open doors for you - with these grades comes the expectation you know the course material. When it comes time for you to use your knowledge and skills, you'll want the pride and personal confidence of knowing you did the work yourself.
We care a lot of about this and so should you. Please be sure you read the edX terms of service agreement. If you're unclear about what is permitted and what is not, check out the agreement and if still in doubt, just ask.
This online course is new for us and for UC San Diego. We believe we are providing you with world-class materials and resources to learn data science or we wouldn't have created the course. But, being experienced educators, we know things often go wrong in new courses. We value your patience as we resolve issues that come up and we promise we'll do our best to resolve them both fairly and quickly.
If you encounter problems, please post on the forums and fill in the surveys which occur periodically in the course. We take your feedback seriously and will use it to improve this, and future iterations, of this course.
This is all to say: Thank you for your patience and feedback!
Unlike in-person or synchronous classes, not everyone will be at the same place at the same time. With our in-person classes, we just take notes every term on how to make things better for students next time around. Here, we get the benefit of being able to make changes as soon as we get feedback or identify the need. This means you might go back to a prior week and find a whole new practice exercise or video there, and that's okay.
We'll try our best to not let these changes interfere with learners who have already advanced past that point in the course while improving the experience for learners who haven't gotten there yet. Again, thank you for your patience.
I have tried online training for the first time in my life and have felt that SV Soft Solutions is the best platform for learning course related to the IT background. No problem was faced at all and the queries were resolved quickly. I can guarantee that Soft Solutions is the best place to learn Data Science.
I have done Data Science Training from SV Soft Solutions and have concluded that it gives one of the best training in Data Science field. The trainers are experienced in their streams and they are always available to provide support. The class timings are also flexible and organised.