Best Data Science Colleges in Bhopal 2021

Data Science College in Bhopal 2021:  Changing Trends, Job Opportunities and more. 

What’s Data Science? Computer Sciences is one of the most promising fields in Engineering and promises a bright future for experts in the field. Computer Sciences comprises diverse areas such as Artificial Intelligence, Machine Learning, Data Sciences, and more, making this field incredibly futuristic and an asset in the coming decades. we will talk about the Data Science Colleges in Bhopal.

Our lives are essentially dependent on technologies, which make our lives practically easy and comfortable. Therefore, it is no news that with the advancement of science and technologies, experts in the field will find highly respectable professions with respectable career growth.

What’s Data Science? 

Data Science refers to an area of study that involves extracting and interpreting valuable insights from the vast amount of data provided, using various scientific methods, statistical analysis, computer algorithms, and more.

Data Scientists essentially identify and analyze the hidden patterns and trends, which outcome is then used by experts to create a predictive model, which, when correctly employed, will enhance the return of the company and help them grow, all the while keeping in mind, the changing trends of the world. 

Data Science is an interdisciplinary field and can cater to experts from various disciplines such as Mathematics, Science, Computers, and more. Data, by all means, is the essential oil for the future world. When comprised of the right technologies, tools, and algorithms, data scientists have the power to use this data and convert them into distinctive and unique models that have the capacity to bring business to advantage.

 It can also help companies detect possible frauds and weak links in their system by applying advanced machine learning algorithms.

Further on, this knowledge enables scientists to perform analysis that helps them gauge the customer’s brand loyalty. It also helps in preventing monetary loss and makes better and faster decisions. With a plethora of advantages and benefits, Data Sciences promises incredible career opportunities and growth. 

What is The eligibility to pursue B.Tech – Data Sciences?

The eligibility criteria for this undergraduate program are mentioned below. 

• The Student must have qualified for their 10+2 examination from any recognized educational board from the PCM field. 
• The student must have scored an aggregate percentage of 50% on their boards. 
• To get admission to the required course, students must pass through the All India Test exam. 

How to set up a Career in Big Data Engineering | Step-by-step guide

 

How to get admission to a good college?

There are many good colleges and universities in the said subject, which can easily lead to confusion. Students must perform thorough research about colleges, courses, future prospectus, and more. Here are a few steps that should be followed to get into a good college, 

• Search for a good college in the respective field and establish your aim. After that, prepare a detailed list highlighting essential features of the college, course description, etc. 
• After this, find out the method of admission that the said college follows before filling the form. 
• If facing difficulty in the process, seek help from professionals that will guide you in the right direction. 
• Gather all the relevant documents and certificates that were asked by the college, keep both hard copies and soft copies of the same, which can be easily accessed. 
• After clearing the entrance test, some colleges conduct a personal interview round to remove which further admission process can be carried out. 
• Once the admission is secured, candidates must fill the said amount of fees in the given period. 

How to Prepare for the entrance test?

Students must keep a keen eye on the various entrance tests that different universities in the field conduct. Many universities conduct their specialized test to segregate students. Although to qualify for these tests, students must prepare well. The following are steps that the students must follow to be eligible for these exams. 

1. Mark the Calendar– Students must mark their calendar with important dates of the scheduled exams. Also, it’s essential to contain all important, relevant information from trusted sources regarding these exams, the schedules, and other such things. 
2. Know the Syllabus– the second most important thing is to know the syllabus in depth. It is equally important to keep a keen eye on the regularly revised syllabus and prepare a study schedule accordingly. 
3. Acquire resource materials– This might be one of the most important steps while preparing for the examinations. Acquire and gather all the correct and relevant study materials, guide books, previous year question papers, and more from verified resources. Notice the pattern of the form and marking schemes. These are the guiding blocks in the process, and the students’ preparation must revolve around this. 
4. Revise– Once all the topics are covered, the students must engage in a thorough revision. Regular revisions help students keep in touch with their acquired knowledge, and it also helps them test their knowledge. 
5.  Give Mock tests– a few weeks before the exams, it is essential to give mock tests regularly. Mock tests help assess and gauge one’s knowledge and perform self-evaluation, which then goes on to help students prepare well and work on their weak spots. 

What are the Courses offered by LNCT?

LNCT University offers courses on the graduate level in the field of Data Science and Analytics. Applicants must take note of these courses that qualified faculty members to provide in this futuristic field to end their search of a University that has it all, i.e., qualified faculty members, enriched libraries, well-equipped laboratories, and a student-friendly campus, that all contribute in imparting quality education to the students, and play a key role in their overall holistic development, making LNCT one of the best institutes of Bhopal, Madhya Pradesh. 

Level	Program	Period	Name of the course	Eligibility
UG	B.C.A	Six semesters	B.CA- Data Sciences.	Must have qualified 10+2 from a recognized board, with at least 45% aggregate.
UG	B. Tech	Eight semesters	B. Tech C.S.E- Data Sciences.	Must have qualified, 12th board, with PCM & through the All India Test Exam.

LNCT GROUP PLACEMENT RECORD 2020-21

LNCT GROUP PLACEMENT RECORD 2019-20

 

A career in Data Science

Data science is a profitable and satisfying professional path. However, the approach to launching or progressing in a data science or analytics job is not always straightforward. Unlike more traditional careers, becoming a data science expert does not necessitate a technical bachelor’s or master’s degree. All you need are the necessary abilities and experience.

Data availability has increased dramatically in recent years, as has the demand for data science skills and data-driven decision-making. Analytics and data science have been solidified as crucial navigational tools across industries and functions, thanks to the severe shift in corporate operations and consumer behavior induced by the COVID-19 pandemic.

Data Scientists vs. Data Analysts

Entry-level data science roles and data analysts have a lot in common in skills and work duties. Both parts necessitate statistical knowledge and programming skills. The focus, though, is noticeably different.

What Does a Data Scientist Do?

Data scientists use data to answer questions about a company’s operations. They use data to develop new product features and are more likely to engage in modeling and open-ended research. They’ll spend a lot of time cleansing data so that their models and machine learning algorithms can work with it. Machine learning algorithms and data science are at work when watching Netflix and seeing a personalized list of recommended shows.

Job Profiles in Data Science. 

Data Science is a multi-disciplinary and futuristic field, which is set to employ many experts. As organizations begin to assess and know the importance of Data Science experts, they are heavily recruiting experts who will prove to be an asset to the organization and help them improve their business schemes and help them grow. 

1. Data Analyst– Data Analysts are responsible for mining a vast amount of data and gather as much helpful information as possible from the unstructured data. Some essential skills required to be a Data Analyst are Python, HTML, programming languages like C, C++, SQL, etc. They look for hidden patterns, trends, and relationships in the big data and then deliver an informative report for further data visualization.
2. Data Scientists– A Data Scientist is someone, who manages a vast amount of data, examines and analyses it to produce compelling business visions to help the business flourish with the use of various algorithms, techniques, and methodologies. To be a Data Scientist, one must have a thorough command over programming languages such as R, Matlab, Python, SAS, and many others. These languages help them gain a better understanding of the Data and assists them in forming better strategies. 
3. Statistician- Statisticians are in many ways the very backbone of the field of Data Science. They collect a vast amount of data and analyze it. To make it more structured and comprehensive, they use statistical theories and methods to interpret and sort the big data. Apart from being an expert in statistics, they must also possess a thorough knowledge of the programming languages like Tableau, Python, Perl, Spark, Hive, etc. 
4. Data Engineer– Data Engineers are responsible for working with a vast amount of data. They develop, tests, constructs and maintains architecture in extensive databases and large scale processing system. They too must possess a thorough knowledge of programming languages like SQL, Matlab, C++, Perl, SAS, etc.  
5. Business Analyst– Business Analysts work to improve their business processes. They act as crucial intermediaries between the IT Department and the team of Business Executives. Their knowledge of Tableau, Python, SQL, etc., helps them correctly analyze the Business ventures and assists in enhancing and growing the respective businesses.  
6. Data Administrator– Data Administrators ensure that the database is only accessible to relevant users. They handle the necessary steps that must be undertaken to keep the database secure and safe from intruding hackers. The Business Administrator must maintain a secure environment. Their skills in Ruby on Rail, SQL, Python, etc., help them in doing this. 

“A Data Scientist is a high-ranking expert with the training and curiosity to create discoveries in the area of Big Data,” according to Harvard Business Review. As a result, it’s no wonder that Data Scientists are in high demand in the Big Data Analytics and IT industries.

With scientists forecasting that there will be 40 zettabytes of data in existence by 2020 (Source), Data Science job prospects will skyrocket! Data Scientists are in high demand in start-ups and established companies due to a shortage of competent individuals in a world that is increasingly turning to data for decision making. According to a McKinsey Global Institute report, the United States would experience a shortage of around 190,000 people with excellent analytical skills by 2018. With the Big Data craze showing no signs of abating, worldwide organizations are scrambling to hire Data Scientists to help them manage their mission-critical data.

future Scope of Data Science

The world is changing in response to current trends, and Data Scientists are one such trend in the modern world. It’s one of the most popular professional choices among today’s youth. From large corporations to small startups, every business requires a Data Scientist to make appropriate use of the massive amounts of data it generates and keeps. Data Science has a wide range of applications in both current and future circumstances.

The majority of individuals are unfamiliar with Data Science as a career option and find it perplexing. Here, you may get answers to queries like “is data science difficult?” or “does Data Science have a future?” or even “is Data Science a decent career in India?”

The twenty-first century is dominated by data, which is also turning out to be the ‘lifeblood’ of this technologically advanced era. The explosion of data on a worldwide platform foreshadows that it will rule the globe in the following years, and all credit goes to the Internet of Things, digital media platforms, and smartphones.

“The entire human civilization is producing such a large amount of data in just 48 hours that it is compared to the data since the start of civilization till 15 years before,” Eric Schmidt says when discussing the future scopes of Data Science.

Which are the major companies that recruit experts in Data Sciences?

Data Sciences is one of the essential futuristic fields. Experts in the field are readily employed by major tech companies that recruit them to use their expertise, increase their revenue, and more. Some of the significant companies recruiting Data Sciences are- 

• Accenture. 
• Intel
• Microsoft
• Accenture 
• Oracle
• Tracxn
• Mate Labs

Apart from the job mentioned above, experts are employed as Data Architects, Data Managers, and more, who use their expertise to make predictive models that will help grow the business and corporation.

The applications of Data Sciences are far and wide. They effectively work in Image and Speech Recognitions, the Recommendation System, Internet Research, etc., all in all, it could be fairly said that Data Sciences has the power to make our world more technologies friendly and advancing in nature. 

With so many different disciplines that the field of Data sciences caters to, it sure will provide employment to experts in the area, who will, with the advancement of science and technology, witness steady growth in their career prospects and help them reach heights in this futuristic field. LNCT is one of the best colleges in Bhopal, Madhya Pradesh, with quality education and great employment opportunities.