Anyone can learn data science, and no prior knowledge or experience is needed to start learning today. Generally, you should have some computer skills and an interest in gathering, interpreting, and presenting data. Learners with a basic understanding of statistics and coding may be able to skip some of the introductory courses.
Within data science, common jobs include data scientist, data analyst, data architect, and data engineer. Data science skills can be extremely useful for business and marketing analysts, who often use system tools to extract and analyze data. It is a high-demand field and skill set, and nearly every industry uses data science in one way or another.
Data Science
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When looking to enhance your workforce's skills in Data Science, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.
Data Science courses help people to develop the skills and knowledge necessary to become successful professionals in this discipline. In addition to learning the theory behind Data Science, these courses also provide people with practical experience working with data. This experience is essential for people who want to pursue careers in Data Science, as it helps them to understand how to use data to solve real-world problems effectively.
In addition to the technical skills gained in these courses, people will also develop soft skills, such as problem-solving and critical thinking, which are essential in any business role. With the insights gained from these courses, businesses can make more informed decisions, leading to improved efficiency and profitability.
Anyone looking for a comprehensive introduction to Data Science will find plenty of courses to choose from. These courses from Great Learning cover everything from the basics of Statistical Analysis and Machine Learning to more specific topics like Data Visualization, Data Analytics, and Data Mining.
The Data Science course syllabus at Great Learning provides the skills you need to become a successful Data Scientist, Data Analyst, Business Analyst, Data Engineer, and many more. You will learn the fundamental Data Science concepts, tools, and techniques. You will learn to use Python, SQL, and R for Data Analysis and visualize and interpret data for gathering insights. The course covers Regression and Prediction, Machine Learning techniques, and much more. You will also complete Capstone Projects to hone your practical skills and implement them in the industry.
The faculty team of our Data Science courses comprises top academicians in Data Science, along with numerous other skilled industry practitioners from leading universities and organizations that practice this cutting-edge domain.
Before enrolling, it is usually advised to thoroughly understand the course syllabus, enabling you to determine whether the course equips you with the required skills. The subjects involved in Data Science are as follows:
However, for students, we have designed the Post Graduate Program in Data Science and Business Analytics, where students learn the foundational skills of Data Science and Analytics. The curriculum covers Python programming language, Data Visualization, Data Analysis, Machine Learning techniques, Business Analytics skills, and much more.
All our courses are top-class, acknowledged by several business leaders and top magazines. Most of our learners have accomplished successful career transitions into Data Scientist or Data Analyst roles.
You will receive certifications from the respective institutes, depending on your chosen course, such as UT Austin for Data Science and Business Analytics, MIT PE for Applied Data Science Program, etc.
With the increase in the demand for data scientists across the globe, salaries are also skyrocketing. Data scientists are making generous pay from top-notch companies. Since there is a lack of data science professionals in the field, even freshers are earning excellent salaries.
The demand for data science jobs is extremely high, and data is considered the new oil in today's digital economy. Companies across industries are seeking professionals who can interpret and analyze this data to provide business insights. Therefore, the demand for data science skills, including machine learning, predictive analytics, and data visualization, is rising significantly.
The future scope for data scientists is promising. With the advent of AI and machine learning, companies in various sectors, such as healthcare, finance, retail, and e-commerce, are increasingly leveraging data to make informed business decisions, resulting in a growing demand for data scientists.
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Data Science is the study of data, where it comes from, what it represents, and the ways in which it can be transformed into valuable insights and resources to create business and IT strategies. It uses various statistical techniques on large sets of data to discover hidden business insights and help businesses predict future scenarios using data.
Businesses today are capturing a lot of data and are looking for professionals who can help them make effective use of this data to grow their businesses and drive efficiency. So the role of Data Science professionals is in great demand and as a result, has emerged as the hottest job of the 21st century according to Harvard Business Review
If you want to learn these skills and have the passion to pursue Data Science as a career option, these courses are best suited for you. A penchant for numbers and data, along with a basic aptitude is the only prerequisite to follow your passion in Data Science. Everything else to make you an expert will be efficiently taught by our renowned faculty.
Data is a necessity for any industry to assess and enhance its growth, and it plays a key role in decision making, forecasting, risk analysis, providing better service, staying ahead of the competition and many more. By taking decisions that are backed by sufficient and valid data, organisations are able to focus on resources to drive maximum impact with minimal risk. Hence Data Science professionals are essential for any industry to move forward in the 21st century.
GL helps you become a well rounded Data Science professional and our course helps you gain mastery over the necessary skills and tools to harness these skills:
Data Analysis Tools: Learning Data Analysis tools is essential to process data for solving business problems at hand.
Pandas
Seaborne
Matplotlib
Basic Statistics
Machine Learning Tools and Techniques: Basic machine learning techniques and algorithms are critical for identifying patterns in the data.
Data Analysis Tools: Learning Data Analysis tools is essential to process data for solving business problems at hand.
Regression Techniques
Ensemble Techniques
Supervised and Unsupervised Learning
SQL Programming: For managing and efficiently working on data sets and includes an introduction to DBMS along with other aspects of SQL programming
Data Science Applications: The course extends support in the form of explaining real-world applications in Time Series, Text Mining, and Data Visualisation
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