Top 10 Data Science Certification Course in 2024

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Why Certificate Course is Important?

Enhanced credibility – Professional certifications are important for personal development and add credibility to your expertise.

Certification is Motivating – Boost motivation and feeling of achievement. An employee with a certification ensures that he can provide value to the organization in the long run and not just deliver the tasks assigned to him.

Competitive Advantage – productivity and competitive advantage for organizations. The certificate showcases the training you gain and enhances skills to move ahead in this competitive and technological world.

Earning Potential – The time and effort invested in professional certifications often results in enhanced income.

Advancement opportunities– Achieving a certificate is proof that you have achieved skills up to a level – beginner, intermediate, or advanced.

Boosts confidence – Professional training and practical exposure to live projects will boost your confidence and a feeling of achievement.

Certification helps you to get hired – A professional certificate adds value to your career achievements. This will help you in achieving a good job.

Efficiency- Mastering technical skills will improve your performance efficiency and save time.

Flexible learning opportunities – This is an added advantage of the online learning option with a flexible learning schedule.

 

Why certificate are important for DS Professionals?

A professional certificate is an essential document – proof of achieving professional training and upgrading the technical skill set. A certificate plays a significant role – it adds value to your achievements and helps you achieve better opportunities in your career. 

Certificates are important for Data Science (DS) Professionals for several reasons:

• Validation of Skills: Data Science Professional Certificates are proof of a data scientist’s skills and expertise in various tools, techniques, and methodologies relevant to the field. 

• Credibility: Having certifications from reputable institutions enhances a data scientist’s credibility in the eyes of employers, clients, and colleagues.
• Competitive Advantage: In a highly competitive job market, certifications can give data scientists a competitive edge over other candidates.

• Career Growth: Obtaining certifications can open up new career opportunities and pathways for data scientists. 

• • Networking Opportunities: Certification programs often provide opportunities for data scientists to connect with people in the field of Data Science. These connections can lead to knowledge sharing about various upcoming trends and upgrades in technology, career opportunities, and advancement.

• • Adaptation to Industry Standards: Certifications help professionals stay up-to-date with industry standards and best practices.

Data Science Certificate

Data science is probably the most blazing activity in IT. Organizations are progressively dependent on data and are anxious to recruit data science experts who can comprehend the data that business gathers. On the off chance that you are hoping to get into this rewarding field, or need to contrast the opposition, certification can be vital.

Data science certifications are an incredible method to increase an edge since they permit you to create skills that are exclusive to your ideal industry. They’re likewise an approach to approve your abilities, so enrollment specialists and employing directors recognize what they’re getting on the off chance that they enlist you.

Regardless of whether you’re hoping to procure a certification from an authorized college, gain understanding as another graduate, sharpen vendor-explicit skills, or exhibit your insight into data analytics, the accompanying certification will work for you.

 

1. SAS Certificate

The SAS Data Scientist Certification is a combination of the other two data certifications offered through SAS. It covers programming aptitudes, managing and improving information, changing, getting to, and controlling data, and how to function with well-known data visualization tools. When you acquire both the Big Data Professional and Advance Analytics Professional confirmations, you can fit the bill to gain your SAS Certified Data Scientist designation. You’ll have to finish every one of the 18 courses and breeze through the five tests between the two separate certifications.

The Key highlights are –

SAS has practical experience in business analysis, software, and services, offering various credentials in programming, advanced analytics, business intelligence, and data and information management for programmers, administrators, and data analysts working with the SAS stage.

SAS Academy for Data Science offers three boot camps in data science bringing about affirmation:

Looking forward to becoming a Data Scientist? Check out the Data Science Bootcamp Program and get certified today.

SAS Certified Big Data Professional

– Six-week concentrated boot camp focused on big data management, data quality, and visual data exploration for advanced analytics.

SAS Certified Advanced Analytics Professional

– Six-week thorough boot camp focuses on analytical modeling, machine learning, experimentation, forecasting, optimization, and critical communication skills.

SAS Certified Data Scientist

– Twelve-week boot camp joining the central subjects from the big data and advanced analytics certificates.

– Candidates may take the above certification exams without enrolling in the boot camps if they already have the requisite skills.

• Cost: $4,400
• Location: Online
• Duration: Self-paced
• Expiration: Credentials do not expire

2. IBM Data Science Professional Certificate

The IBM Data Science Professional Certificate consists of nine courses in data science, data science methodology, open source tools, Databases and SQL, Python, data visualization, machine learning with Python, data analysis, and data science capstone. The course happens online with a flexible schedule and takes a normal quarter of a year to finish, yet you are allowed to take pretty much time. The course remembers hands-on tasks to assist you with building a portfolio to exhibit your data science talents to potential bosses.

The Key highlights are –

– Well-designed content and all the topics are covered elaborately.

– The instructor helps you to work on the fundamental techniques with the help of examples.

– Plenty of chances to execute the skills covered in the lessons and utilize certifiable instruments and genuine world datasets.

– No prior programming or computer science knowledge is required as all the topics are covered from scratch.

– The classes contain techniques and tips along with projects and assessments.

• Cost: Free 7-day trial; $39 per month for a Coursera subscription after the free trial
• Location: Online
• Duration: Self-paced
• Expiration: Credentials do not expire

3. Harvard Extension School Data Science Certificate

This Harvard Data Science Certification program will teach you key essentials of data science, including machine learning and R using real-life case studies to kick-start your data science career. It has over 9 courses, this immersive program is among the best-rated online master’s programs available on leading e-learning platform edX. The courses that make up this program include Visualization, R Basics, Inference and Modeling, Probability, Wrangling, Productivity Tools, Machine Learning, and Linear Regression, followed up with a Capstone project to test all that you have learned in the course. You will learn the top programming language, data analysis techniques, and statistical concepts simultaneously. In case you also want to deep dive into the world of Python, they have the best of the best courses for it.

The Key highlights are –

– They cover the fundamental R programming skills.

– Statistical concepts such as inference, probability, and modeling and apply them in practice.

– Gain experience with the tidy verse, including data wrangling with dplyr and data visualization with ggplot2.

– Become familiar with essential tools for practicing data scientists such as git and GitHub, Unix/Linux, and RStudio.

– Implement machine-learning algorithms and In-depth knowledge of fundamental data science concepts through motivating real-world case studies.

• Cost: $442
• Location: Online
• Duration: Self-paced
• Expiration: Credentials do not expire

4. Microsoft Certified Azure Data Scientist Associate

According to Microsoft the Azure Data Scientist Associate certification from Microsoft focuses on your ability to utilize machine learning to “train, evaluate and deploy models that solve business problems,” Candidates for the exam are tested on AI solutions, machine learning, computer vision, natural language processing, and predictive analytics. The exam focuses on defining and preparing the data modeling, development environment, developing models, and feature engineering.

The Key highlights are –

– Use Microsoft Excel to explore data and Transact-SQL to query a relational database.

– Create and validate Machine Learning models with Azure and write the code using Python or R.

– The interactive lessons and quizzes make the classes intriguing and keep a check on your grasping on the topics covered.

– Complete the reviewed appraisals and down-to-earth exercises to procure the course culmination identification.

– The preparation is separated into week-by-week segments alongside tests.

– In the capstone project implement an ML solution for a given data problem.

• Cost: $165
• Location: Online
• Duration: Self-paced
• Expiration: Credentials do not expire

5. Google Data and Machine Learning

The Google Data and Machine Learning certification includes three tracks for data scientists, data analysts, and data engineers. The data analyst track concentrates on garnering information from the GCP (Google Cloud Platform), with one three-day module focused on the skills needed to be successful as a business analyst, data analyst, or BI professional. The data engineering track has two one-day modules and one three-day module that cover ML, data engineering fundamentals, and one module for exam prep. The data scientist track includes a one-day module on GCP and ML and two five-day modules on ML and Tensor Flow.

The Key highlights are –

– Handle large amounts of data from various fields and in different formats.

– Understand clustering, parametric and non-parametric algorithms, and dimensionality reduction among other important topics.

– Gain best practices and advice from the instructor.

– Interact with your peers in a community of like-minded learners from all levels of experience.

– Certifiable-based case studies offer you the chance to see how issues are settled every day.

– Learn to apply learning algorithms to understand text, build smart robots, database mining, and audio.

• Cost: $200
• Location: Online
• Duration: Self-paced
• Expiration: Credentials do not expire

6.Udemy: Complete Data Science Bootcamp 2024

In case you are contemplating starting a career in this rapidly growing field then this achievement justifies a look. All the subjects required to become a productive data scientist are covered one by one. Each of the topics builds on the previous one and talks about the ins and outs of each of these areas allowing you to get a better grasp of the data science Course. So you can start from scratch and by the end of the boot camp, you will be proficient in handling real-life challenges and go for more advanced specializations.

The Key highlights are –

– The complete toolbox is provided to get a grasp on this area.

– Understand the mathematics behind ML.

– Solve real-world business cases that will get you the job.

– Start coding via Python and learn how to use it for statistical analysis.

– Topics covered include the introduction of data and data science, statistics, mathematics, Tableau, Python, machine learning, and advanced statistics.

– 434 Lectures, 80 Articles, 129 Downloadable resources, Full lifetime access

– Question and answer support and community available.

• Cost: Rs. 465
• Location: Online
• Duration: 25 hours
• Expiration: Credentials do not expire

7. Dell EMC Proven Professional Certification Program

Dell EMC products and storage technologies allow multiple tracks within the Proven Professional program, this also allows certificate holders to attain a depth of knowledge in specific areas. Proven Professional tracks include cloud architect, data scientist, technology architect, cloud and storage administrator, engineer (platform, cloud, and implementation), and application developer. Dell EMC also offers product-specific certifications for customers who utilize ViPR, ScaleIO, VxRail storage solutions, and Data Protection Advisor.

Most, but not all, Proven Professional tracks come in three levels: Expert, Specialist, and Associate. Each certification track in the Proven Professional program aims toward a combination of target audiences like partners, employees, industry-wide, and customers. Current tracks that are available to every single invested individual (industry-wide) incorporate the accompanying:

1. The Dell EMC Data Scientist Track (EMCDS) includes two programs — first is the Data Science Associate v2 (DCS-DS) certification and second is the Data Science Specialist (DCS-DS) certification.

• At the associate level, they cover the foundations of big data analytics and data science. The courses can be completed in person or online.
• As soon as you’ve completed the associate-level program, the course allows you to move onto the specialist level which covers topics such as advanced analytical methods, natural language processing, Pig, Hadoop, HBase, Hive, and visualization methods.

• Cost: $230 per exam
• Location: In-person or online via Pearson VUE
• Duration: Self-paced
• Expiration: Does not expire

8. Oracle Business Intelligence Certification

As the owner of both business databases in the world (Oracle Database), the open-source database in the world (MySQL), and the widely used language to process and analyze data (Java), Oracle’s certification structure is definitely of interest to bosses. The certification has value and credibility for high-paying jobs in competitive.

Oracle certifications are based on the database version, which makes them very specific to implementations. There is a complex hierarchy within the system, which is as follows:

1. Associate
2. Professional
3. Master
4. Certified Specialist
5. Certified Expert

Not all product offerings have all degrees of accreditation.

• Cost: Exam costs can range from $50 to more than $2000
• Location: In-person or online
• Duration: Self-paced
• Expiration: It is possible to upgrade from a lower-level credential to a higher one, or you may take courses and test directly into an advanced credential.

9. Microsoft Certified Solutions Expert (MCSE)

Microsoft’s Certified Solutions Expert (MCSE) in Data Management and Analytics is a significant confirmation for associations that utilize SQL or Azure Server as their information stores…, which is a great deal of the market.

However, to get an MCSE later in your career, you need to start by earning a qualifying MCSA (Microsoft Certified Solutions Associate) certificate.

Doing so both lays the groundwork for an eventual MCSE and gives you a solid understanding of the basic technology that is underlying your high-level queries and data operations. Knowing how SQL Server functions at an operational level is a big plus when you are trying to design efficient query structures and storage schemas as a full-fledged data scientist.

The minimal effort additionally makes the MCSA a decent alternative as an early-profession certification. You have some options available, too. Any of these MCSAs build to an eventual MCSE: Data Management and Analytics:

1. SQL Server 2012/2014
2. SQL 2016 Database Administration
3. SQL 2016 Database Development
4. SQL 2016 BI Development
5. Machine Learning
6. BI Reporting
7. Data Engineering with Azure

• Cost: $165 per exam, per attempt
• Location: Online
• Duration: Self-paced
• Expiration: Valid for three years

10. Cloudera: Data Analyst Training Certificate

Cloudera is a vendor of Apache Hadoop. This software leader caters to a wide range of markets, such as university research, government, financial services, telecommunications, and energy.

The primary Cloudera certification is the Cloudera Certified Professional: Data Engineer (CCP: DE), intended for data scientists who can structure and create adaptable and robust answers for creation situations. Candidates must be able to develop and design data science solutions on a live cluster with real data sets and pass the following exams:

1. Descriptive and Inferential Statistics on Big Data
2. Advanced Analytical Techniques on Big Data
3. Machine Learning at Scale

The company also has three foundational skill certificates that it calls Associate level certificates, each addressing a particular role in the Hadoop ecosystem:

1. CCA Spark and Hadoop Developer
2. CCA Data Analyst
3. CCA Administrator

• Cost: $295 per exam, per attempt
• Location: Online
• Duration: Self-paced
• Expiration: Cloudera certifications do not expire

Must Check: Top Programming Languages For Data Scientists

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