We live in a digital age where everything is kept online as data, including our daily tasks, all of our official jobs, our thoughts, internet searches, and social media posts. Professionals with competence in this area are required to handle and arrange this data. These professionals are referred to as Data Science Specialists.
Here one of the common questions that comes to our mind is What is Data Science? We will discuss everything about data science in this blog.
What Is Data Science?
It is the field where concepts of Statistics, Machine Learning (ML), and Computer Science are used to reorganize primary data available and bring out important Information.
Why To Learn Data Science?
In the above section, we have learned What is Data Science. Now we will discuss a few reasons why you have to learn it:
- It is new in comparison to other fields. So, people are enthusiastic and interested in it.
- It has a wide range of applications, and corporate markets have only recently begun to use it in certain domains.
- Everyone is aware of the long-term competitive advantage this field can offer, hence many businesses are interested in making investments in it.
- Due to its vast skill pool, this field is expected to grow significantly in the future.
Sources To Learn Data Science
We live in a world where every piece of information we require is available online in the form of books, blogs, articles, or online courses. We can choose from any of these sources and learn everything from here. In addition to these resources, a lot of organizations now offer a variety of certification programs for learning any new skill.
Therefore, to learn, What is Data Science one can choose from any of the offline or Data Science Online courses. However, from my own experience, I would advise choosing Kodakco’s Online Courses because they are unique. Also, They have one of the top teaching teams of industry experts.
About Kodakco
Kodakco is an upskilling & technology consulting company with offices in Hyderabad & San Francisco.
It trains individuals in the fields of medicine, Language, Six Sigma, Design, and SAP at the B2C level. It provides consulting and enterprise application services and Cloud Analytics to companies at the B2B level.
A variety of courses related to What is Data Science are offered by it which is taught by industry experts.
Data Science Online Courses Offered by Kodakco
In this section, we will look at the various Online Courses offered by Kodakco consultancy.
1. MBA In Data Science
Things We Will Learn
This course has a total of 29 modules. You will learn about the usage of data visualization tools with the help of which you can explain your understanding of What is Data Science more effectively. You will Learn Real-world case studies to build practical skills. Apart from that, you will also learn about analytics tools & techniques such as Python, Tableau, and SQL.
Key Features
- It is 5 in 1 course in which training, projects, exam assistance, assignments, and certification will be provided.
- 1 year of free access to Kodakco LMS will be given to those who will enroll. During this period, they can access an unlimited no. of sessions with multiple trainers.
- Updated industry-oriented study material, monthly masterclass sessions, hackathons, recorded videos of the sessions, 100% placement assistance and add-on supplements will also be provided.
- Internship opportunities will be given after the course completion.
2. Data Science With Python Course
This course consists of a total 7 modules where you will learn about-
- Overview
- Data Analytics and Business Application
- Python Environment Setup and Essentials
- Mathematical Computing With Python
- Scientific Computing With Python
- Data Manipulation With Pandas
- Data Visualization in Python Using Matplotlib
3. Data Science With R Course
We will learn the core skills of Data Science in this course i.e;
- Data Manipulation
- Data Visualization
- Machine Learning with R
This course aims to master some essential skills such as Data Manipulation, Data Visualization, and Machine Learning using R and enhance your ability to generate valuable insights through precise data collection and storage techniques.
This course includes a total of 10 modules which consist of-
- Introduction to Business Analytics
- Introduction to R Programming
- Data Structures
- Data Management in R
- Advanced-Data Visualization
- Descriptive Statistics in R
- Regression Analysis
- Decision Tree: Classification
- Clustering: K-means and Hierarchical
- Association Rule Analysis
Career In Data Science
This section will explain, what data science is used for, and in what Indian industries there is a good career in this field.
We will talk about a few of the more significant ones here, even though it is present in almost every industry.
- Financial services: It is important in financial services because fraudulent transactions and other frauds can easily be detected by evaluating the creditworthiness of borrowers. In the field of the stock market also it can be very helpful in predictions related to stocks and other financial products.
- Retail: In retail or e-commerce sectors, one can use data to personalize marketing or other experiences to their customers’ needs.
- Healthcare: It provides researchers and other professionals related to the healthcare sector with tools that help in fast research and more accurate treatment which results in better results for patients. It also helps in better readability of medical images using computer vision and machine learning (ML) algorithms.
- Agriculture: In agriculture, it can be used to make algorithms that use past events to predict weather patterns and crop yields.
Data Science Jobs
Up to this point we have covered every point related to this field. In this section, we will look at the jobs available in this field.
People might think about different jobs in this field based on their interests and areas of expertise, given the prospects in the sectors mentioned above.
Those with a solid understanding of it can consider the following job roles:
1. Data Scientist
They are important in this field because they have the skill combination of a statistician, computer scientist, and mathematician.
Different work done by them includes-
- Data collection
- Data visualization
- Data modeling
- Problem-solving
2. Machine Learning(ML) Engineers
What does a Machine Learning Engineer do?
They are an important part of the data science team. The various tasks done by them include-
- Implementing machine learning algorithms
- Running AI systems experiments and tests
- Designing and developing machine learning systems
- Performing statistical analysis
3. Data Architect
What work do Data Architects do?
They design, implement, and maintain data models and databases for an organization. their job role includes-
- Creating Data model design
- Database design
- Managing Data migration
- Ensuring Data Security
- Establishing a Data maintenance plan
- To provide input into data dictionaries and define and maintain the data technology arch. i.e; data governance
- To design and manage ETL (extract, transform, load) workflows
- To ensure accessibility and regularity of Data insights
4. Statistician
They use mathematical and statistical methods to solve problems by examining and explaining data. His job depends mainly on 5 tasks that consist of:
- Data collection
- Data analysis
- Communication
- Problem-solving
- Study design.
5. Data-Analyst
They use data to help solve business problems and make important business decisions.
Some of the key tasks of a Data Analyst are-
- Data Collection
- Data Cleaning
- Data Analysis
- data Visualization
- Communication
- Documentation
- Collaboration
- Data Privacy
- Process Improvement
Salary In The Field Of Data Science
The average salary of people working in this field depends on various factors which include-
- Experience
- Industry type
- Job location
- Educational background
moreover, for different types of jobs, salaries differ in this field.
Below is a list of the average salaries of different experts working in this field-
- Data science intern: Rs. 1.8 lakh per annum approx.
- Junior data scientist: Rs. 6-8 lakh per annum approx.
- Mid-level data scientist: Rs. 12-15 lakh per annum approx.
- Senior data scientist: Rs. 18-40 lakh per annum approx.
- Machine learning (ML) engineer: Rs. 5-15 lakh per annum approx.
- AI researcher: Rs. 5-20 lakh per annum approx.
- Data Engineer: Rs. 5-15 lakh per annum approx.
- Data analyst: Rs. 5-10 lakh per annum approx.
- Data science manager: Rs. 25-40 lakh per annum approx.
Conclusion
The area of Data Science is vast and it is growing with great speed. Every industry today, requires people who have good knowledge in this domain. Anyone who is interested and has good field knowledge in Statistics, Mathematics, or Computer Science can have a promising career in this field.
Recommended Reads
Top 8 Data Science Certifications to Boost Your Career
What Is the Future of Data Science: Trends and Opportunities
Maximizing Your Learning Potential with a Data Science Course
The Role of Machine Learning in Data Science
FAQS
1. What is Data?
Answer: It is a collection of some facts, observations, or descriptions which is used to produce some relevant information.
2. What is Machine Learning (ML)?
Answer: It is a part of data science that uses computers to produce unknown results from large data sources.
3. What educational qualification is required to enter the field of data science?
Answer: A bachelor’s degree in statistics, mathematics, engineering, or computer science is required for lower positions, For bigger positions such as senior data scientists, many companies ask for a master’s and P.HD. degree.
4. Can a person with a nontechnical background enter the field of Data Science?
Answer: Yes, anyone with a nontechnical background can enter this field. But, they have to develop their skills in mathematics, programming, and data analysis.
5. Which industries use Data Science and its concepts?
Answer: Every industry today uses it. Some of them include gaming and sports, communication, media and entertainment, aerospace, transportation, and construction, etc.
