Additional Info of Data Science Training in Chennai

Introduction to Data Science

This first stops in the Data Science curriculum. It will help you get started with the program, plan your learning schedule, & connect with fellow students & teaching assistants. Along the way, you’ll get an introduction to working with & exploring data using a variety of visualization, analytical, & statistical techniques.

What is Data Science? The field of data science is interdisciplinary, which encompasses a lot of areas including scientific methods, processes, systems, and algorithms. This field is deeply connected with big data and analytics. With proper training in data science, you make yourself eligible for recruitment in a lot of companies that have data handling jobs available with them. The world has been taken over by big data. And with the foothold of big data growth in the world, the need for its storage began to grow. Enterprise industries saw it as a challenge till somewhere around 2010. At that time, more emphasis was being laid on building solutions and frameworks for the storage of data. Then came frameworks like Hadoop that indeed solved the problem of data storage. But then a new problem arose- processing of this stored data. Here comes the role of data science. In Hollywood sci-fi movies, you see a lot of seemingly unrealistic ideas. Believe it or not, all such ideas can be turned into reality with the help of data science. In another way, you can say that the future of artificial intelligence lies in data science. And that is probably the reason why data science and its courses are so much in demand. People want to learn it for lucrative IT career options. So, data science, which is a concoction of machine learning principles, algorithms, and various tools, is used to figure out concealed patterns in raw data. It is because of data science that data can be used to add value to any business. Predictive causal analytics, prescriptive analytics, and machine learning are the elements that together render data science helpful in making decisions and predictions. Here, it would be valuable to add that the future lies in the hands of data scientists. The need for data scientists that have expertise over the subject is growing with each passing day. What more? Well, data science is changing the way people look at the world flooded with data. What is Data science in simple words? Combination of machine learning, Deep learning & AI. Data Science is the branch of science that uses the knowledge of Mathematics, Statistics, Computer Science and Business to analyze data insights and to take action based on these data. These scientific methods will help in making better decisions to solve critical business problems.

Any company that makes data-driven decisions is dependent on its data scientists for its future.

Data Scientist is someone who works with data and who has more expertise than that of a scientist, statistician, and a software engineer. Data scientists should develop statistical algorithms and deal with big data.

Data Engineer is someone who has a deeper understanding of data and its infrastructure and finds, transforms and cleans data.

Data Analyst is someone who presents solutions to a business problem by analyzing data and using visualization techniques. Data analysts use Microsoft Excel, Tableau, SAS and work with queries. They don’t deal with Big data technologies. What skills are needed to be a Data Scientist? A data scientist should be an expert in multiple skills such as Mathematics, statistics, Big Data.

Data scientists should have a deeper understanding of Mathematics, Statistics and should have good analytical skills to understand patterns in these data.

We should be able to develop machine learning algorithms that are capable of doing predictive analysis and generate sample data based on given datasets. What is the use of Data Science? Business Development & Analysis using Data. Why is Data Science Important? The fast increasing Global data, the advancement of technologies, the growth of AI and machine learning – All these make big companies make data-driven decisions. Hence, Big companies depend on data to make important financial decisions. Data science is applied in Finance, Insurance, Gaming to make use of their structured and unstructured data and to make rational decisions.

Data science has become inevitable in numerous fields and is undoubtedly the most-sought-after role nowadays. What is the Difference between Big data & Data science? It could be a bit confusing to differentiate between Big data and Data Science.

Data Science is the branch of science that deals with everything about data from the cleansing, preparation, analysis of data. This is applied primarily in internet searches, Fraud detection, Digital advertisements.

Big data refers to complex and very large data sets that are unstructured and cannot be easily handled using traditional data processing tools. It involves data storage, analysis, visualization of these data and finds the insights from them to take strategic business decisions. This is applied in Financial Services, Telecommunications, Commerce, Health and Sports. What is a Data Scientist VS Data Analyst? Data Scientist works at much a deeper level compared with the data analyst.

Data analyst just works with analyzing and querying data using simple tools like SQL, Excel and provides solutions to the business problems presented to them. Data Scientist deals with Big data (Unstructured data).

But, Data scientist creates business questions, analyses data patterns and creates a statistical model to find answers to those questions and use visualization techniques to help others understand their findings. They solve critical business problems and make companies take strategic decisions. What is the difference between a Data Engineer & a Data Scientist? Data Engineer deals with data warehouses. A data engineer is exposed to data architecture that designs, builds, works with data. A data engineer is responsible to maintain the accuracy and availability of data.

Data scientists, on the other hand, will develop deeper insights from the data maintained by the data engineer. Should one be a Data Engineer or a Data Scientist? Data engineers usually have a programming background whereas the data scientist comes from the mathematical background. According to Glassdoor, the number of jobs for Data engineers is 5 times more than the data scientist jobs.

Data engineer develops, constructs, maintains data. Data engineer works with tools such as MongoDB, Redis, Hive, SAP, other database tools.

Data Scientist develops insights and solves business needs. Data Scientist uses Tableau, SAS, SPSS, Rapidminer. Both of these roles use tools such as Spark, scale, etc.

If you have good database background and strong technical skills, go for Data Engineer role.

If you have good analytical skills, mathematical, statistical skills along with technical expertise, You can build your career as a Data Scientist.

Click Here to Check Latest Updated – Data Science Interview Questions and Answers

Key Features of Data Science Course in Chennai

Besant Technologies offers Data Science Training in Chennai in more than 7+ branches with 10+ years of Experienced Expert level Trainers. Here are the key features,

Why Should I Learn Data Science from Besant Technologies?

35 Hours to 45 Hours Course Duration

Industry Expert Faculties

Completed 500+ Batches

100% Job Oriented Training

Certification Guidance

Learning from industry experts

Live projects

Real-time problems and solutions

Flexibility

Availability

Connectivity with more branches

Exam and Certification

Placement assistance

Mock interviews

Frequently Asked Questions

Different Modes of Data Science Training in Chennai

Get enrolled for the most demanding skill in the world. Data Science Training in Chennai will make your career a new height. We at Besant technologies provide you with an excellent platform to learn and explore the subject from industry experts. We help students to dream high and achieve it. We have Data experts as our trainers. Our trainers have been working in top MNCs in good Data science roles and have good experience in training students. We provide training in both classroom and online modes. We do Corporate training.

If you are a business, you sure have trust in your employees. They are efficient, no doubt. But by offering them proper data science training, we will make them capable of having better insights into your company’s data. Our curriculum is comprehensive and is suitable for all kinds of employees-both from IT and non-IT backgrounds. Interestingly, our training is customizable. And we facilitate customization because we acknowledge that your company is unique and its needs are also special. With customized training to your employees, we help them improve their data science capabilities. And guess what! The training is imparted by excellent instructors, having industry experience. Don’t worry about time and place compatibility, we also offer online data science training.

Individuals

Individual training is a training that is individualized to take into consideration the differences between learners. It is most suitably used in a one-to-one situation. Not like facilitated learning where the instructor takes a more passive role, with individual learning the trainer needs to consider and cater to the needs of individual participants. It doesn’t mean that students are at home they can be in a classroom and still work through things at their own pace.

Data Science Classroom Training

Group Training

We have many branches in Chennai and Bangalore. In Bangalore, We have branches in Marathahalli, Jaya Nagar, Indira Nagar, BTM layout, Rajaji Nagar and Kalyan Nagar. Our branches are situated in places which have very good connectivity. We run our classes in small batch sizes which facilitates good interaction between trainer and students. Our trainers are attentive to students in case of doubts or questions in-classroom training.

One to One Training

We also provide one to one classroom training where students will be given full attention as the trainer’s time is fully dedicated to one student. Fast track classroom training: This is for students with time constraints. We give the best training at a fast pace while also covering the full syllabus as in normal classroom training.

Fast Track Training

Fast Track and flexible term courses are no different from regular semester-length courses. Sessions are more intensive, and trainees attend class more hours each week to learn. what is needed to complete the course. This type of training is for those individuals who want to complete the course quickly by taking extra hours or extra classes.

Data Science Online Training

Online Classroom Training

We provide online training in both one to one and batch size. This is suitable for working professionals who can grasp the subject easily but cannot travel to our branches due to time constraints.

One to One Training

One dedicated trainer for one learner, this is an excellent way of learning to understand the content in a simple way. All the Trainers are highly qualified professionals. Besant technologies are leading in 1-to-1 training, most of the learner prefers this for various benefits. Quicker learning as you get the undivided attention of the trainer. You don’t need to wait for your turn to clear your doubts. Quality of learning has an inverse relation with the number of students in a class.

Fast Track Training

Fast Track and flexible term courses are no different from regular semester-length courses. Sessions are more intensive, and trainees attend class more hours each week to learn what is needed to complete the course. This type of training is for those individuals who want to complete the course quickly by taking extra hours or extra classes.

Corporate Training

This type of training is for companies who want to train, retrain, and jointly educate employees and managers in order to grow. We love to give corporate training as we have experienced professionals who can train you at your place with excellent teaching methodologies and help to grow your company at the highest peak. We provide world-class training for corporate professionals. This is specialized and customized training based on your business requirements.

Placement Assistance after Data Science Training :

Our trainers help you with each and every step in your job progress.

Our trainers help improve your resume and help you add the necessary skills so that your resume clears the screening process.

The live project experience gained from the class will help you in facing interview questions. Our trainers are available for you to reach out for any doubts or queries after course completion.

We conduct mock interviews for you which boosts up your confidence level and prepares you for real-time interviews.

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Data Science Job Opportunities

Data Science team comprises data analyst, data scientist and data engineer, data architect, and so on. There is an increasing demand for data science roles and a big gap exists between the need and the availability. Hence, markets need more engineers in data science jobs. The industry provides the best salary for the right candidate.

The growing demand for people who are capable of mining and interpreting data is proof enough to say that there are huge career opportunities in the field of data science. And there is hardly any company that doesn’t have anything to do with data. Almost every company, irrespective of the industry in which it operates, deals with data handling. And that is why they are on a constant search for people having knowledge of data science. Starting from start-ups to big players, almost every company has a requirement for experienced people. By taking a data science course at Besant Technologies, you will be able to fill up job positions such as analytics manager, business analyst, business intelligence (BI) analyst, data analyst, data scientist, director of analytics, research analyst, research scientist, senior data analyst, statistician and the like. And to make sure you get the most lucrative jobs in the market, we offer placement assistance too.

What jobs can you get after completion of data science course? You can start as a Data analyst.

You can also get into Data scientist or

Data engineer positions.

There are still more roles to explore in Data science field. What exactly does a data scientist do? Data scientist deals with big data and helps organizations take strategic business decisions in solving their critical business problems. What is a data scientist salary? Start-ups pay an average salary of about 10.8 lakhs to data scientists.

Salary can go as high up to 25 lakhs per annum.

Tier 1 companies pay the best in the industry for data scientists. How much do entry-level data analyst make? Data analysts start at an average of 3.5 lakhs per annum. What are the Top Companies hiring data science Professionals? Wipro,

Infosys,

Flipkart,

Urban Ladder,

Snapdeal,

Amazon hires for various data science roles. Is data science a good career option? Data science is a very good career option to step up the ladder, as it is being one of the highest-paid and niche skills of the decade. Data Science is the domain which has an evergreen future. A lot of companies invest good money in doing research and innovate in this field.

Click Here to Know About → Data Science is the Backbone of the IT Industry?

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