Data Science is an emerging technology that has a wide scope and is growing at a very fast pace. It is a field that uses a variety of techniques and tools to operate on data in order to gain valuable insights. The whole wide world is turning data-driven, resulting in a growing demand for certified data scientists.
Data Science is an interdisciplinary approach to extract actionable insights from the massive and vast amounts of data gathered and molded by today’s organizations. The data science process includes; Prepare data for analysis and processing, performing advanced data analysis, and presenting results to reveal patterns and enable stakeholders to draw informed conclusions.
Data Science Life Cycle
The data science lifecycle aka, the data science pipeline consists of common techniques used in Data Science.
Capture: It is the collection of raw structured and unstructured data from all relevant sources through any method- from manual entry and web scraping to capture of data from system and device in real-time.
Prepare and Maintain: This entails transforming the raw data into the right format for analytics or machine learning or deep learning models.
This encompasses cleaning, duplicating, and reformatting the data to combine the data into a data warehouse, data lake, or other integrated stores for analysis.
Preprocess or Process: Here, the data scientist determines the suitability of the data for use with predictive analysis, machine learning, and/or deep learning algorithms (or other analytical methods) to determine the biases, patterns, categories, and distributions of values within the data.
Analysis: This is where discovery takes place – where data scientists perform statistical analysis, predictive analysis, regression, machine learning, and deep learning algorithms, and much more to extract insights from the prepared data.
Communicate: Finally, insights are presented in the form of reports, charts, and other data visualizations that make the insights and their impact on the business easier for decision-makers to understand.
What do Data Scientists do?
Data scientists acquire and analyze vast sets of organized and unstructured data. The job of a data scientist consists of a mix of computer science, statistics, and mathematics. They interpret the results of data analysis, processing, and modeling to generate actionable plans for businesses and other organizations.
What is the Salary for a Data Scientist?
On average, a Data Scientist receives INR 6,98,412 per annum. Even with less than one year of experience, an entry-level data scientist can procure around $500,000 per year. Data scientists with 1 to 4 years of experience can expect to earn around 610,811 per annum.
What is the Scope of Data Science?
According to an IBM report, data science jobs are expected to grow by 30 percent. The estimated figure of job listings for Data Science in 2021 is 2,720,000. The US Bureau of Labor Statistics had predicted that by 2026 over 11 million jobs would be created in the domain.
Skills Required for a Data Scientist
- Knowledge of algorithms, statistics, math, and machine learning are all important.
- R, Python, SQL, SAS, and Hive are examples of programming languages that a data scientist needs to know.
- Communication skills are needed to properly communicate results to the rest of the team.
What are the Leading Professional Certificates Available in Data Science?
Data Science is a broad field of study that focuses on delivering proper insights from data. Data Science has numerous possibilities in various domains, you name it. Now let’s check some prominent professional certifications in this field that you could hang onto. For data science, course fees read “What are the Fees of Data Science Training Courses in India?“
Data Science Foundation
Data Science Foundation is a high-level data science course designed with an agenda to introduce data science and its landscape, fundamentals as well as core concepts of data science. There are three broad domains of Data Science. Statistics, Machine Learning, Programming, Data Skills, Business Domain Knowledge. Foundation courses focus on basic statistics, an overview of machine learning, some on practice with ML algorithms, and applications of data science in the top 5 industry domains.
For more details about Data Science Foundation: https://datamites.com/data-science-training/foundation-course/
Certified Data Scientist
The Certified Data Science course is a popular course that helps in gaining proficiency in Data Science. It is a high-level data science concept designed with an aim to cover all aspects of data science with core concepts. Data Science is one of the most happening fields in business today, which is creating more career opportunities. Our Data Science course is accredited by IABAC (International Association of Business and Analytics Certification) which is a global certification. The curriculum covers areas i.e. statistics, machine learning/programming/data skills, business domain knowledge; Covering all the Mains of Data Science helps you to get a solid hold on it.
For more details about Certified Data scientist: https://datamites.com/data-science-training/certified-data-scientist/
Data Science for Managers
Data Science for Managers is concerned with incorporating data science into activities at the senior level. The Data Science for Managers course is for those who often run into responsibilities that involve decision-making, which is data-driven. The IABAC-accredited certification has global recognition.
This is the chance for those in Managerial roles to get it on in the domain of Data Science. For more details about Data Science For Managers: https://datamites.com/data-science-training/certification-for-manager/
Data Science for Marketing
Sales and marketing is one such organizational function that has a lot to do with data. The Certified Data Scientist-Marketing course primarily focuses on the deployment of data science in the sales and marketing domains. The IABAC-accredited certification is widely recognized and plays a vital role in meeting long-term career goals.
For more details about Data Science for Marketing: https://datamites.com/data-science-training/certified-data-scientist-marketing/
Data Science for Human Resources
Data Science has found its way through specialized domains of organizational functions. The Certified Data Scientist-HR curriculum primarily focuses on the deployment of data science in HR functions. The IABAC-accredited certification is widely recognized and plays a vital role in meeting long-term career goals.
For more details about Data Science for Human Resources: https://datamites.com/data-science-training/certified-data-scientist-hr/
Data Science for Finance
Data Science has found its way through specialized domains of organizational functions. The Certified Data Scientist-Finance course essentially emphasizes the deployment of data science in finance functions. The IABAC-accredited certification is widely recognized and plays a vital role in meeting long-term career goals.
For more details about Data Science for Finance: https://datamites.com/data-science-training/certified-data-scientist-finance/
Data Science for Operations
Data Science has found its way through specialized domains of organizational functions. The Certified Data Scientist-Operations curriculum primarily focuses on the deployment of data science in operational tasks. The IABAC-accredited certification is widely recognized and plays a vital role in meeting long-term career goals.
For more details about Data Science for Operations: https://datamites.com/data-science-training/certified-data-scientist-operation/
So, Are you ready to take up a well-known Data Science career?