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Created by Divyanshi Kulkarni
about 2 months ago
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The U.S. Bureau of Labor Statistics projected an above-average increase of 35% in employment opportunities for data scientists through 2032. In other words, there are approximately 17,700 vacancies every year. However, many positions will become available as employees will be replaced with candidates with relevant data science certifications. This detailed guide is for all aspiring data science professionals and current industry professionals. It will provide you with ample information on how to be an ideal fit for the opportunities in the field. This article focuses on upskilling oneself with some of the best data science courses. What Does a Data Science Professional Do? A data scientist analyzes and interprets data, helping organizations to form strategic decisions. Their brilliant aptitude in statistics, computer science, and mathematics helps them track trends and patterns by analyzing large data sets. To achieve this, they focus on predictive modeling, machine learning, and statistical analysis. Data science professionals are also skilled at inventing newer ways to store and collect data. Skillset of Senior Data Scientists Salaries for senior data scientists can vary based on their geographical location and several other factors. However, due to the demand for advanced analytical skills, the compensation for the role tends to be higher. According to Bulitin.com, the average salary for a senior data scientist position in the United States is $149,231. Additional cash compensation for the role is $24,296, making the average total $173,527. Intrigued yet? Let’s see how which skills should a data science professional focus on to become a senior data scientist: Data Preparation and Cleaning: Advanced Statistical Analysis Knowledge Machine Learning Algorithms Predictive Modeling Big Data technologies Data Visualization Cross-platform Interactions Innovative and Continual Learning Maintaining Ethical Boundaries Best Data Science Courses to Develop These Skills: Data science certifications are an ideal way to develop competencies to stand out from the crowd. For aspiring data science professionals as well as current employees of the industry, these certificates act as proof of knowledge and skills. Being aware of the current methodologies in the industry, alongside the latest trends and tools, is necessary if you want to scale your data science career. These certifications will also help you keep tabs on the evolving details of the field. Let’s see which certification will be the best data science course for you! Certified Senior Data Scientist (CSDS™) by USDSI® CSDS™ is one of the best data science courses to help you achieve this authoritative position in the job market. It offers the most contemporary curriculum to match the industry trends and futuristic methodologies. The curriculum will prepare you to tackle diverse problems by helping you develop a techno-commercial mindset. USDSI®’s CSDS™ increases your chances of getting approximately a 40% hike in your salary as a senior data scientist. The course enhances your techno-commercial mindset. In other words, along with your technical knowledge, it adds to strategic thinking and helps you develop a business mindset, making you ready to deal with future challenges. Eligibility criteria of CSDS™: 1st Path Associate Degree or Diploma, preferably in STEM, and a desire to learn AI, ML, and more Minimum six years of work experience, preferably proficiency in Python/R/JAVA 2nd Path Bachelor’s degree or equivalent, preferably in STEM, and a desire to learn AI, ML, and more Minimum 2 years of work experience in a programming language or engineering/ finance/ management/ statistics 3rd Path Pursuing an M.Sc. or equivalent, preferably in STEM, and a desire to learn AI, ML, and more No work experience required Basic proficiency in a programming language or Engineering/ Finance/ Management/ Statistics 4th Path Carrying a certificate badge of either CAIE™ by USDSI® or any other equivalent certification Minimum 4 years of work experience with an associate degree or diploma Or one year of work experience with a bachelor’s degree or equivalent This data science certification costs US $885 (all-inclusive). Exploratory Data Analysis and Visualization by UCLA UCLA teaches effective data visualization, a top business intelligence and analytic technology. Its specific focus lies on data visualization utilizing Tableau while also holding discussions about data exploration and data analysis techniques. This course leverages learning visualization with R and Tableau, analyzing and preparing raw data for processing and visually representing data for tasks like exploration, dashboards, and presentation. The cost of this course starts from $1,095.00. Data Science: Inference and Modeling by Harvard University Statistical inference and modeling are essential to analyze data affected by chance. This course aims to teach that to the candidate through a case study method on election forecasting. Once the course is completed, data science professionals will learn to create a simplified version of the electoral forecast model. They will then apply the concepts to study the 2016 elections. To make a successful data science career, it is very important to get your basics right. Harvard University teaches professionals foundations of predictive modeling and Bayesian statistics. It covers data analysis, science, R, probability, and statistics. You can audit this certification for free and add a certificate for $149. Sign Up Now and Climb the Ladder Now that you know how to become a data scientist in 2024, what are you waiting for? A data science career will have increased competition due to the demand, anyway. These data science certifications can help you upskill yourself and equip you with the best opportunities today. So, enrol today and start learning!
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