Data Science Specialization courses to explore in 2023

Data Science has become synonymous with new-world technology. It has become a hot trend since 2015, jobs such as data analysts and data scientists being in higher demand. Data scientists are the hottest jobs in the IT industry at present with major career growth. Recently Forbes released an article on Burtch works survey on data science salaries. It is estimated 5 million data science professionals are required by the end of this year.The acceleration to develop innovative solutions in real-time has become the main reason for love of data. Data is everywhere similar to atoms. The ability to implement technologies across various industries such as healthcare, finance, business, marketing, logistics, etc.

Data Analyst salaries in India and by industry

Certification in data science can not just help in improving knowledge but also boost employability. The best part being anyone can learn data science whether a student looking for a start in their career or a professional looking to explore a different opportunity.To learn data science there are various sources for enrollment like online courses through coursera,edx,google and so on. What is most important is courses are needed to attain the necessary skills to tackle issues faced in this data empowered society.

Given below is a list of data science specialization certificate courses for those interested in pursuing data. The list includes free resources and paid certifications.

1. Data Science Specialization from Johns Hopkins University (Coursera)

This Data Science Specialization is a 10-course introduction to concepts and tools that we’ll need in data science pipeline concepts taught by renowned professors of John Hopkins University. This course helps learners to develop right requirements related to data science ,ask questions to understand data ,manipulate data sets, make inferences and visualization.There are nearly 10 courses in this certification program along with a Capstone project. These courses have tools that data analysts/scientists work with such as version control, markdown, git, GitHub, and RStudio along with other data science concepts. The Capstone Project at the end helps demonstrate the data science skills learned through this course along with real-world problems.

Pre-requirements

Python(Basic) and Linear Algebra

Duration: 10 courses, 8 months, 5 hours per week

Rating: 4.5

2. IBM Data Science Professional Certificate (Coursera)

This Data Science certification program was developed by IBM and made available on Coursera platform. The concepts to be learned will be data science and machine learning with hands-on learning. This is one of the best Data Science Programs with 9 courses that covers data science topics in detail such as fundamentals of data science, open source tools and libraries, data science methodology, Python programming, working knowledge of databases and SQL, data analysis and visualization with Python, basics of machine learning followed by capstone project to help the student consolidate learning and apply skills learned to a real life project.

Each of the 9 courses typically contains 3 to 6 modules which require 2-4 hours of effort per module. In addition to certification after competition a IBM open badge for each course will be given according to efficiency.

Pre-requirements

No prior experience needed.

Duration: 9 courses, approx 2 months, 12 hours per week

Rating: 4.7

3. Applied Data Science with Python Specialization by University of Michigan (Coursera)

This Data Science program has been developed by 4 professors from the University of Michigan. It enables learners to efficiently manipulate and gain insights on data. It comprises 5 courses that delve into data science methods, techniques and skills using Python. This program focuses on the application of statistical analysis, machine learning, information visualization, text analysis and social network analysis. It teaches popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into data. Learners are required to complete all five courses to earn the specialization certificate.

Pre-requirements

Python(Basic) or any programming language

Duration: 5 courses, 5 months, 7 hours per week

Rating: 4.6

4. The Data Science Course 2022: Complete Data Science Bootcamp (Udemy)

The Complete Data Science Bootcamp program from Udemy provides the entire toolkit to become a data scientist. It starts with basics of mathematics and statistics to advanced statistics, machine learning and tableau and more. This course includes 27 hours of on-demand video, 88 articles, 144 downloadable resources and full lifetime access.

This data science course offered by Udemy is the most effective course on data science with structured training. It covers following topics in detail – Basics of Data science, Mathematics (Calculus and Linear Algebra), Statistics, Python programming with NumPy, Pandas, Matplotlib and Seaborn, Tableau, Advanced Statistical Analysis, and Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow. The course offers a wide variety of animations, quizzes, exercises and bonus materials.

Pre-requirements

No prior experience needed

Duration: 27 hours on-demand video, 88 articles, 144 downloadable resources

Rating: 4.5

5. Machine Learning A-Z™: Hands-On Python & R In Data Science (Udemy)

Machine Learning is a very important domain of data science and becoming an expert in this field can be very challenging. This Machine Learning course available on Udemy provides a pathway into exploration and application of machine learning including containing complex theory, algorithms and coding libraries in a simple and effective way. This course provides in-depth knowledge on both Python and R programming languages.The course is 44 hours of video content spread across 290 lectures. The course forms a thorough applied approach and efficient mathematics. It is packed with practical exercises that are based on real-life examples, so apart from learning theory students get hands-on practice building their own models.

Pre-requirements

Python/R(Basics) and Statistics

Duration : 44 hours on-demand video

Rating : 4.5

6. Data Science Nanodegree Courses (Udacity)

Udacity offers world-class nanodegree programs in its The School of Data Science. No matter what the skills and experience level of an individual, these programs offer a point of entry into the world of Data. Whether one wants to master data science programming with Python, R and SQL or become a data analyst or learn business analytics, there is a program on offer to build the relevant skills.

The Nanodegree programs available in Udacity's School of Data Science are more efficient for these three job profiles: Business Analyst, Data Analyst and Data Scientist. They prepare learners for these roles based on their career goals, skills and experience levels.

Following are some of the Nanodegree courses in the Data Science field:

Programming for Data Science with R

Data Scientist

Data Visualization

Data Analyst

Programming for Data Science with Python

Data Engineer

SQL

Pre-requirements

SQL programming and Python(intermediate)

Duration : Self-Paced

Rating : 4.6

7. Google Data Analytics Professional Certificate (Coursera)

This Data Analytics certificate program offered by Google available on Coursera provides learners with all the skills they require to find an entry-level job in the field of analytics. It provides insights on how to collect, transform, and organize data efficiently to make predictions and drive informed business decisions. This program also covers topics that data analysts need on day-to-day work such as spreadsheets, SQL for data extraction, Tableau for data visualization, R programming, RStudio, and R packages including the Tidyverse package.

The curriculum of this certification program has been developed by subject-matter experts and employers at Google, along with input from top employers and industry leaders, like Tableau, Accenture, and Deloitte. Those who complete this course will be able to access career resources and be connected directly with Google and over 130 other partner employers hiring for open entry-level position.

Pre-requirements

Fundamentals R and python

Duration : 6 months, 10 hours per week

Rating : 4.7

FAQ

1 .What is the difference between data science and data analytics?

Data Science is much of a broader term, a macro topic and data analytics is a part of it. Both of these fields require separate skill sets such as data science requires the professionals to be having the knowledge of data modeling, predictive analytics programming, etc.

2. Are data scientists in demand?

The organizations are becoming data driven and so is the requirement of professionals who know how to manage the data effectively. Yes, data science is in a very huge demand,is growing rapidly and is expected to reach USD 25.94 billion by 2026.

3. What industries need data scientists?

The field of data science is applicable in almost every field today. Some of the fields are E-Commerce Banking Finance Transport IT Education Marketing Sales

4. Can I get a job in data science as a fresher?

Yes definitely! There are various opportunities to get a job as a fresher through online courses. The freshers can utilize these courses and learn skills in order to brush up their skills, gain new skills and network.

Do like,follow,share and comment for more such content!!! Haripriya Ramaraj