Data Science Courses
Learn to wrangle massive data sets and get ready to land lucrative job offers with our online Bootcamps and get proficient in both basic and advanced concepts with our Data Science certification courses.
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More about Data Science
Why learn data science?
- Whether you want to improve business strategy or solve complex, scientific problems, data science helps professionals make sense of various kinds of information. This is invaluable in the era of big data, when data sets are often too large and complex to fit into the memory of a single computer.
- A data science degree can expand your analytical skills and sharpen your knowledge of statistics and mathematics, enabling you to address real-world problems across multiple sectors — from retail and social sciences to agriculture, finance, and health and fitness.Footnote An online data science degree also means learners can absorb data analysis and machine learning concepts at their own pace.
Data science course curriculum
- Learning data science is a springboard for learners eager to master big data, develop their analytical skills, and open up multiple career avenues. There are numerous online data science courses available — whether you’re looking to dip your toes in programming languages and exploratory data analysis or eager to dig deep into natural language processing. There are also self-paced options to study data engineering concepts or focus on the visualization components of data science. The outcome remains the same whichever course of study you chose — you will learn to leverage technology to interpret and predict complex data.
- A typical curriculum for data science or data analytics includes courses in math, statistics, computer modeling, programming, and big data and data science.
- These courses will introduce you to a variety of new skills and concepts, including R programming, statistical analysis, regression analysis, data structures, neural networks, Structured Query Language (SQL), TensorFlow or other machine learning platforms, basic data analysis with Excel, and data visualization with Tableau or Power BI.
Explore data science jobs
- Companies hire data scientists with the expectation that they will identify patterns, analyze structured and unstructured data, and create and deploy algorithms. In other words: data scientists possess a unique skill set that is valuable across disciplines.
- A degree in data science can open the door to various career opportunities including data analyst, data engineer, machine learning scientist, applications architect, business intelligence developer, academic researcher, survey researcher, statistician, economist, and financial analyst.Footnote4 Data analysts, engineers, and machine learning scientists in particular can benefit from a strong foundation in data science. This helps them to perform advanced duties within their roles. One way to gain this knowledge is through intensive boot camps.
- It’s also important to note that learning data science on its own does not mean you automatically have the skills required for all the jobs listed above. Some may require additional know-how and a bachelor’s or master’s degree.
How to become a data scientist online
- Having a bachelor’s degree in computer science and/or a master’s in data science or related fields such as science, statistics, and mathematics can be helpful in your job search. If you don’t have a bachelor’s or master’s, you’ll still want to work on acquiring some coding and analytical skills for your desired data science role.
- You may learn data science and its prerequisite skills, like data analytics, in another educational setting, such as a boot camp. However, it’s important to bear in mind that every job is different and each company will have unique hiring requirements, so consider that when planning out your educational journey.
Frequently Asked Questions
What is the average salary for data science professionals in India?
The average salary for a data science professional in India typically ranges from ₹8 lakhs to ₹25 lakhs per year, depending on experience, skill level, and industry. Senior data scientists or those in specialized roles often earn higher salaries.
What topics are typically covered in data science courses?
Data science courses usually cover essential topics such as data analysis, statistics, machine learning, Python/R programming, and data visualization. Advanced topics may include deep learning, natural language processing (NLP), big data frameworks, and data engineering, which are critical for real-world applications.
What careers can I pursue after completing a Data Science certification course?
After completing a data science certification course, you can pursue careers as a data scientist, data analyst, machine learning engineer, business analyst, or data engineer. Additionally, roles like research scientist, AI specialist, and business intelligence analyst are popular choices for certified data science professionals.
What common skills do I need to become a successful data science professional?
To excel in data science, you need strong analytical skills and proficiency in programming languages like Python and R. Knowledge in statistics, data manipulation, machine learning, and data visualization is essential. Familiarity with big data technologies like Hadoop and Spark, as well as cloud platforms, is increasingly valuable.
Are data analytics and data science the same thing?
No, data analytics and data science are very different. Data analytics is used to look at existing data to identify trends that can be used to inform decisions-often you use SQL and Excel to do this. Data science is more comprehensive, having to do with predictive modeling and machine learning, predicting outcomes and solving complex problems. Data analytics answers 'what happened' while data science explores 'what will happen'.
Is data science a good career for me?
Yes, data science is a highly promising career with strong job prospects. The demand for data scientists continues to grow across industries as companies increasingly rely on data-driven insights. Skilled data professionals are in demand, and the field offers diverse career paths with significant earning potential.
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GUVI (Grab Your Vernacular Imprint) Geek Network Private Limited is a leading online learning and skills development company, incubated by IIT Madras and IIM Ahmedabad.
Established in 2014 and acquired by the HCL Group in 2022, GUVI is dedicated to providing effective and high-quality learning and skilling programs that transcend language barriers in technology education. GUVI today is trusted by over 3 million learners and 2000+ corporate partners.
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