According to HTF Market Intelligence, the Global Online Data Science Training Programs market to witness a CAGR of 0.2442% during forecast period of 2023-2028. The market is segmented by Global Online Data Science Training Programs Market Breakdown by Application (Students, Working Professionals) by Type (Certifications, Masters) by Tools (R Programming, Python, Big ML, SAS, Others) by Category (Live Streaming, Recorded) and by Geography (North America, South America, Europe, Asia Pacific, MEA). The Online Data Science Training Programs market size is estimated to increase by USD 2245.68 Million at a CAGR of 0.2442% from 2023 to 2028. The report includes historic market data from 2017 to 2022E. Currently, market value is pegged at USD 828.5 Million.
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Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data.
Online Data Science Training Programs market - Key Segment Analysis
The market share growth by the Live Streaming segment will be significant during the forecast period. The segment is driven by the Increasing demand for data science skills: As the amount of data generated by businesses continues to grow, there is a growing need for professionals with data science skills who can analyze and make sense of this data. This demand is driving the growth of online data science training programs as individuals seek to upskill or reskill in this area..
Online Data Science Training Programs market - Competition Analysis
The global Online Data Science Training Programs market is seeing several joint ventures to intensify the capability of manufacturers and/or companies to establish geographic footprints to new territory. The vendors are accelerating M&A strategies to expand their geographical reach, which is shaping the market toward new growth cycle. The list of players that are profiled in the study are Coursera, Udemy, Simplilearn, Udacity, eDX, Data Camp, Great Learning, Unacademy , Analytix Lab, Jigsaw Academy, R-bloggers, IllumiDesk, Kdnuggets, FutureLearn, Topcode, Codementor.
Online Data Science Training Programs market - Geographical Outlook
North America will provide maximum growth opportunities in Online Data Science Training Programs market. According to our research, the region will account for 0.4575% of the global market growth during the forecast period. The market in North America is driven by Increased Demand: The demand for data science professionals has been increasing rapidly as more and more organizations are collecting and analyzing data to make informed decisions. This has led to an increase in the number of individuals seeking online data science training programs to upskill and enter the field..
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What key data is demonstrated in this Online Data Science Training Programs market report?
Some Extracts from Table of Content
Some Extracts from Table of Content
- Overview of Online Data Science Training Programs Market
- Market dynamics
Growth Drivers, Market Trends, Opportunities and Challenges
- Five Forces Analysis
Bargaining power of buyers, bargaining power of suppliers, Threat of new entrants, Threat of substitutes, Threat of rivalry
- Online Data Science Training Programs Size (USD & Sales Volume) Comparison by Type (2017-2028)
- Online Data Science Training Programs Size (USD & Consumption) and Market Share Comparison by Application (2017-2028)
- Online Data Science Training Programs Size (Value & Volume) Comparison by Region (2017-2028)
- Market Capacity, Production, Export-Import by Region (2017-2022E)
- Online Data Science Training Programs Market Sales, Revenue and Growth Rate (2017-2028)
- Competitive Situation and Trends
- Market Positioning and Share Analysis (2020-2022E)
- Suppliers High-Performance Operational Base Distribution
- Analyse competitors, Profiles, Sales Area, Product Category
- Online Data Science Training Programs Cost Analysis
- Marketing Strategy Analysis
- Research Conclusions
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