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Boost Your Credibility with Data Science Certifications

Earning a data science certification can significantly boost your data science career. they help you gain new data science skills that are most in demand among industries, validate your knowledge, and show your commitment to lifelong learning.<br>There are other untold advantages a student or professional gets after earning certification from top institutes that are credible and recognized among employers. However, you need to be able to find a suitable certification program that matches your career goals and aspirations.

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Boost Your Credibility with Data Science Certifications

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  1. BOOST YOUR CREDIBILITY WITH www.usdsi.org © Copyright 2024. United States Data Science Institute. All Rights Reserved

  2. T heData Science Industry is booming as organizations of all sizes, big and small, and across all industries are using it to enhance their decision-making process. Several research firms have confirmed a growth rate of up to 30% CAGR for the data science market. This positive outlook means increased investments in the data science workforce as well. However, the industry is seeking a huge number of skilled data science professionals, and the competition will be soaring, too. Data Science Certificationscan prove to be a great savior and help to uplift your Data Science career. This guide will explore the benefits and top data science certifications and discuss how to find the best one for you. WHAT ARE DATA SCIENCE CERTIFICATIONS? Data Science Certifications are important credentials that students or professionals can earn to gain new data science skills and knowledge and validate their expertise in the field. Universities, tech organizations, professional certification bodies, and institutes offer these. However, before enrolling in any certification program, students and professionals need to consider several factors, including the certification’s recognition and credibility. Certifications come in different modes as well. They can be offered online, live classes, self-paced, or offline on-campus classroom mode. Also, they are available for beginners, intermediates, and advanced professionals. EXPLORING DATA SCIENCE INDUSTRY Let’s have a brief overview of the Data Science industry to ensure that a career in this field is bright and brimming. As per Fortune Business Insights, the Data Science market is expected to reach $257.89 billion by 2027, growing at a CAGR of 24.7%. Moreover, the application of data science is growing across all industries. There is a huge amount of data generated, and businesses are luring every way to use this data. The data generated will only increase, and thus, the demand for Data Science Professionals will always be there, offering great security in data science jobs. Here are some facts related to hiring data science professionals as per the WiDS 2024 Data Science Report. www.usdsi.org © Copyright 2024. United States Data Science Institute. All Rights Reserved

  3. H I R I N G S U R V E Y 47% 47% 6% 60% 20% of leaders plan to grow their data teams of data teams plan to hold steady in their hiring plans of leaders plan to reduce their data teams of data teams plan to make permanent hires only of data teams plan to make contract hires only Source: WiDS 2024 Data Science Report 33% 40% 27% 20% of data teams are planning to hire based on project-based demand of data teams plan to make both permanent & contract hires of data teams are hiring primarily to increase headcount of data teams are hiring primarily due to backfilling TOP JOB ROLES IN DATA SCIENCE For those looking to make a career in data science, here are some of the most popular and highest-paying data science job roles to consider: They focus on building and maintaining Data infrastructure Their primary tasks include data collection, cleaning, processing, and storing Data engineer They should have skills in SQL, Python, data warehousing, and cloud platforms www.usdsi.org © Copyright 2024. United States Data Science Institute. All Rights Reserved

  4. They focus on extracting insights from raw data using various statistical and machine-learning techniques Their important responsibilities include analyzing data, building models, and predicting outcomes. Data scientist They should be proficient with programming language, machine learning, business acumen, and more. Data analysts have to interpret data to solve business problems They clean data, perform statistical analysis, and create data visualizations Data analyst They need to be good at SQL, Excel, and data visualization tools like Power BI or Tableau Their role includes using data and helping organizations makeinformed business decisions. They can be found creating reports, dashboards, and data visualizations Business Intelligence Analyst Business Intelligence Analysts must have good business acumen, SQL knowledge, and data visualization tools. Machine learning engineers develop and design machine learning models They train the model, optimize their performance, and integrate them into applications. Machine learning engineer They must be good with Python and machine learning frameworks like TensorFlow and PyTorch. These senior-level data science professionals lead the data science teams and drive strategic initiatives. They look after complex data analysis, model development, and deployment Senior Data Scientist Senior data scientists must have strong technical and leadership skills with domain expertise www.usdsi.org © Copyright 2024. United States Data Science Institute. All Rights Reserved

  5. The following chart shows the most in-demand skills for hiring data science professionals. Skills and expertise that companies are prioritizing their new hires 6% 6% 6% Source – WiDS 2024 Data Science Report Technical skills Soft skills Industry specific knowledge 82% Leadership ability WHY ACCREDITED DATA SCIENCE CERTIFICATION MATTER? 1 2 3 4 5 Recognition Standardized Curriculum Quality Assurance Employer trust Peer Recognition www.usdsi.org © Copyright 2024. United States Data Science Institute. All Rights Reserved

  6. HOW DATA SCIENCE CERTIFICATION BOOST CAREER Are Data Science Certifications worth it? Should one invest their time and money in earning these credentials? Well, going through these some of the notable benefits of data science certifications will clear your doubts. Career Advancement These credentials enhance your credibilityand help you gain a competitive edge. Thus, it increases your employability and helps with career advancement. Gain Latest Skills Data science certifications are updated regularly to include the latest data science tools and technologies and help you gain in-demand industry-relevant data science skills faster. Validates Knowledge and Expertise They also help validate your theoretical knowledge, practical experience, and expertise in data science technology, approved by credentialing institutes APART FROM THESE, OTHER BENEFITS INCLUDE: Demonstrate your commitment towards the Data Science industry and lifelong learning Offers networking opportunities with other established Data Science professionals Helps build a strong portfolio of Data Science projects Help earn 40%-50% higher salaries with non-certified counterparts Offers flexible time for learningand is best suited for professionals with busy schedules. These benefits suggest how beneficial data science certifications are and how they are great for students and professionals in advancing their careers. www.usdsi.org © Copyright 2024. United States Data Science Institute. All Rights Reserved

  7. HOW TO FIND THE RIGHT CERTIFICATION FOR YOU? Several factors determine which is the Best Data Science certification for you. For example, if you are just starting your data science career you want to build a strong foundation, and you must look for beginner-level data science certification programs. Here are things to consider while choosing the data science certification for your career: Check if the certification you want to pursue aligns with your career goals, i.e., it covers the skills you want to learn and caters to your desired industry. 1 Ensure the program covers essential topics and offers practical experience through practice codes and exercises. 2 3 See who the instructors are and what their expertise and knowledge Consider certifications from organizations that are recognized, reputable, and accredited. 4 Cost and time are important. See if the cost of certification fits your budget and if it can be completed within your desired timeframe. 5 Mode of learning, like online or offline, live classes or self-paced learning, is another important factor. 6 www.usdsi.org © Copyright 2024. United States Data Science Institute. All Rights Reserved

  8. TOP DATA SCIENCE CERTIFICATIONS The following are some of the most popular and widely recognized data science certification programs globally. Beginner level Google data analytics Professional certificate Certified Data Science Profession (CDSP™) by USDSI® IBM Data Analyst Professional Certificate Intermediate level Professional Certificate in Data Science and Analytics from MIT Professional Certificate in Data Science from Harvard University Certified Lead Data Scientist (CLDS™) by USDSI® www.usdsi.org © Copyright 2024. United States Data Science Institute. All Rights Reserved

  9. Expert level Advanced Statistics for Data Science from John Hopkins University Certified Senior Data Scientist (CSDS™) by USDSI® Google Advanced Data Analytics Capstone These are highly credible and recognized programs that will significantly boost one’s data science career, no matter if they are starting up or want to advance in their career. 39% Source - KPMG of the D&A and AI workforce are women as of june 2024 DATA SCIENCE CERTIFICATIONS CAN FAST-TRACK YOUR CAREER IN THIS DOMAIN. The field of Data Science is growing rapidly, and data science jobs are exploding. With numerous benefits, data science certifications are a great investment for aspiring as well as established Data Science professionals.

  10. GET STARTED ON YOUR PROFESSIONAL DATA SCIENCE JOURNEY © Copyright 2024. United States Data Science Institute. All Rights Reserved

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