Data Science Online Training Course

The primary objective of the data science training course is to provide extensive knowledge to the candidates about basic and advanced level techniques of data analytics that are performed using the R programming language. If you are enrolling with GangBoard then you would get to work on real-life projects. This course would help you get a master’s in R language and advanced statistical skills.

The benefits of the data science online course are endless. The main objectives of this online data science training are:

• To help you in familiarizing various forms of data.
• To make sure you gain a thorough understanding of a wide range of tools and technologies so that you’re able to work with them in processing data.
• To improve your abilities in analyzing data.
• To master your art of finding patterns in complex sets of data.
• To help you gain knowledge in analyzing and automating data.
• To make you better at predicting and setting business objectives to your data.
• To help you be proficient in this emergent data science field and skyrocket your career.

At the end of this training, you will be able to,

• Thorough knowledge of data transformation tools, data visualization, and optimization
• Thorough knowledge of R language
• Exposure to real-life diverse data sets
• In-depth knowledge of statistical concepts
• Creating user-defined package in R
• Automation of any data and publish in R itself
• Able to analyze big data
• Competent to work in data mining, Machine learning, and statistics

With new companies emerging every day, there will always be a need for well-trained professionals to deal with all that data. In addition to this, there has been significant growth in the field of data science in just a few years. Taking this into consideration, data science is currently one of the most sought-after careers in recent times. If you’re looking to head towards shaping your career as a data scientist, then you should go for the data science online training. This data science online course training will help you gain exposure in this field along with providing you hands-on practical knowledge. With this data science certification, it will help you stand out from other applicants. Data science certification online courses help you in moving one step closer to becoming successful in your data science career.

If you are looking for a challenging career in the field of business analysis that includes statistics, computer science, and analytics, then this Data Science Online training is the best choice. Data Science enables you to add value to the business by using the data properly. We live in a data-driven world. Hence, data scientists are a must for every organization. They are a lot in demand, however, they are limited in number. That is the reason why Data Scientists are one of the best paying jobs currently. This Data Science Online Course is a job/placement oriented training and we also provide 100% placement assistance.

Before Starting Data Science Training we need to know the roles and responsibilities of Data scientists. Data scientists are often working on generating questions. This brings out turning an unknown business or product problem into a data question or get to know what questions one can ask about a solid data set. A Data Scientist’s pursuit is similar to that of a Data Analyst to find actionable insights that are key growth to company and decision-making. However, a Data Scientist action part is needed when a company’s data exceeds a certain level that requires advanced skills to work in such an unstructured data to identify queries and point out the necessary information. One of the top-notch skills, a Data Scientist also needs strong storytelling and visualization skills to share insights with peers across the company.

Data Scientist responsibility are machine reaching, more advanced statistics, data cleaning, and processing, data mining, predictive, running queries and find out questions, flourish prototypes, proof of concepts, algorithms, and custom analysis. Invent and build new dataset processes for modeling, data mining, and production purposes. Determine new ways to improve data and search quality. For data analysis, R is a clear winner. Not only because of R is pointedly for statistical computing, but also because there are a number of packages have been creating for each domain by statistician and publish in CRAN and GitHub. In addition, data scientists are expected to build tools like a dashboard to automate their work to improve their efficiency time.

Anyone with a love for statistics and analysis can go for the Data Science Online Training Program. However, the Data Science Online Course is highly recommended for the following:

• IT professionals
• Software developers
• Data and business analysis
• Statisticians
• Information Architects

If you’re a data enthusiast or someone who is genuinely interested in working with data, then you should definitely go for data science online training. Mostly, people with mathematics especially a background in statistics, followed by computer science students, choose to train with data science online courses. Working professionals such as software developers and information architects who would like to upgrade their skills or business analysts looking to grow their business positively with the help of data tools can also opt for data science online training. As long as you’re open to learning something new, you don’t even need any qualifications. Some data science certification online courses are open for people as young as 13 years old. So, what’s stopping you?

As we all know that there is a very prominent demand for data scientists in almost every existing industry. This data science online certification training course is well-suited for the aspirants who have a strong interest in the data analytics field. There is no need for any kind of prerequisites for this course. Even if you are new in the field, this course is perfect for you. Moreover, IT professionals, software developers, graduates who want to build their careers in data science, experienced professionals, etc. can also take up this course.

Data science certification online training will help excel your career remarkably. With online data science training, you can specialize in a particular area or with a programming language after which there will be so many career paths to choose from. Data analysts, data scientists, and data engineers are the three major paths most people head towards. However, these are just three out of hundreds of other options available. With a certification in data science, there is no limit to your career growth. You can also freelance in the field of data science. This is mostly not known to people because there are not many freelancers. Companies hire data consultants for a temporary amount of time such as freelancers instead of settling for permanent employees.

Data Science Training will help you build a challenging and well-paying career. You are recruited as a Data Scientist after completing the Data Science Training. It helps you enhance your understanding and analysis of data. Data Science Training also provides you with an evaluation of real-life, industry-based projects in the domains of healthcare, retail, insurance, and so on.

There aren’t any prerequisites to pursue online training in data science. However, having an academic background that will be related to what you’ll study in the data science online course such as statistics, programming and computer knowledge would be very useful. Having a background would mostly help link core concepts with anything new that you’ll be studying in the data science online course. This way, you’ll feel like you can easily understand what’s being taught. Not to forget, good communication skills will also be of use. When you make predictions on data, you will need to present those predictions in an understandable way. This is where having these skills will be beneficial. These skills can also be acquired with data science online training.

Based on the specialization you choose, you will learn various programming languages such as ‘R’ and ‘Python’. Along with programming, you will also learn data visualization, statistics, making predictions, analyzing data, working with different forms of data, machine learning and AI concepts, working on different platforms such as Hadoop and Apache Spark, and many more. As you earn a data science certification and start working, there will be new advancements in the field which you would have to learn as well. It’s important to keep yourself updated with the latest technologies in order to get the most out of your career. These advancements can be learned by taking another data science online course and getting certified.

Data Science Training adds the following to your skillset, to name a few:

• Analyzing the available data
• Working on different data formats
• Understanding statistical concepts
• Learning and using clustering methods
• Understanding the responsibilities of a Data Scientist

Although programming is necessary for a career in data science, it also depends on the type of work you will want to do in the future. You can work on developing algorithms too but that would at least require basic coding knowledge. You can also use GUI based tools if you plan on avoiding coding, but those tools can’t always get the job done. If you avoid programming at the beginning of your career, you will struggle a lot as you advance to the next stage. So, it’s better to work on developing your programming skills right from the start.

With the data science online course with Gangboard you can expect to learn concepts from live sessions conducted by industry experts. A professional-looking portfolio with the project code and video that can be shared with the recruiter. All our online sessions are recorded and access is granted to the enrolled student to review any of the topics in the data science online course/training. Trainers at Gangboard have decades of experience as a full-time industry architect. Our projects provide you with the experience of real case studies helping you solve problems in the real world. 24/7 access to our portal and a dedicated support team to clear up any queries.

Data Science Training will be suitable for,

• Data Scientist
• Data/Web analyst
• Statisticians
• Hadoop Professionals who want to learn R and ML techniques

Gangboard is one of the leading platforms for data science certification and training. The course prepares you to become an adept data scientist. During the course, you will learn everything there is to know about data science from the beginner level to the most advanced. Our data science course includes materials and lectures explained in Laymen’s language, which makes the course desirable for beginners as well as professionals. Using analytical tools such as Python and R, you will learn to master the skill set of a data scientist. The data science training will provide extensive depth in analytical techniques with the help of real-life projects using the Python language. Once you have successfully completed the data science certification, you proceed towards developing your portfolio in which you learn to implement the knowledge gained.

These portfolios can be used to demonstrate your superiority and knowledge as a data scientist during the interview process. We provide a highly intuitive data science online course/training that will empower you to learn at your own speed. Professionals can take advantage of this course to excel in their careers and attain higher designations in their organization.

This training will happen for 20 hours. If you opt for weekend classes both Saturday and Sunday you will be having approximately 2 hours 30 mins in the scheduled time of the batch you chose. If you opt for weekdays classes all Monday to Friday, you need to spend at least 90mins.

To become a data scientist, knowledge of the following skills is essential:

• Computer and statistics
• R programming language
• Coding
• Database
• Computation Framework
• Machine Learning

Data science has various applications and isn’t restricted to only a few. One area in which data science is used is search engines. These search engines such as Google use data science algorithms to return results. Some other data science applications are recommendations, image and speech recognition, delivery logistics and many more.

As data science deals with huge amounts of data, following are a few places where they are used the most:

• Searches
• Advertisements
• Recommendations
• Face and voice recognition
• Travel planning

With huge amounts of data floating all around, it is important to keep it simple and easy to understand. This helps you to make improvements where and when needed. Data Science helps us make better and quicker decisions. Hence, data science is important.
Learn Data Science – Free Data Science Tutorial.

The basic difference between the two lies in the programming language. Python on one side is a bit readable and is a general-purpose language whereas R on the other side is a bit advanced and mostly used by statisticians. To get the most out of your career in data science, it’s ideal to learn both of the programming languages.

SAS (Statistical Analysis System) contains a huge collection of advanced statistical functions and a very good GUI which makes learning and working with it easier. When compared to R and Python, choosing between them depends on the industry you’re working in and the various requirements that need to be met.

Big data is the large volume of data or information revolving around the world on the internet whereas data science is a method to deal with this humungous amount of data using the concepts of mathematics, framework, statistics and so on.

A data scientist does statistical analysis and develops Machine Learning systems. They make decisions based on data. However, a data analyst comes up with technical solutions to problems as per business needs.
To know the Difference Between Data Science and Data Analytics refer this blog.

A data engineer is responsible for managing big data. They integrate data from various resources. However, a data scientist uses this big data and infers solutions for business. In short, data engineers make the base for the data scientist to work on.

The responsibilities of a data engineer and a data scientist overlap. One creates the infrastructure and architecture for data generation and the other performs analysis on the generated data. But, data science is definitely the future of IT. You can find data science in every field, right from retail to e-commerce. Also, data scientists get paid is really well.