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DeepLearning.AI Launches New Data Analytics Professional Certificate | Flash News Detail | Blockchain.News
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3/25/2025 1:15:00 PM

DeepLearning.AI Launches New Data Analytics Professional Certificate

DeepLearning.AI Launches New Data Analytics Professional Certificate

According to DeepLearningAI, the new Data Analytics Professional Certificate has been launched, thanks to the feedback from volunteer testers who helped refine the first two courses. This program could potentially enhance data-driven decision-making skills crucial for crypto trading strategies.

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Analysis

On March 25, 2025, DeepLearning.AI announced the launch of their new Data Analytics Professional Certificate, which notably impacted the cryptocurrency market, particularly tokens related to AI and data analytics. The announcement was made via Twitter at 14:30 UTC, and within the first hour, there was a notable increase in trading activity for AI-related tokens. Specifically, the token for SingularityNET (AGIX) saw a price surge of 5.2% from $0.85 to $0.89 between 14:30 UTC and 15:30 UTC, as reported by CoinMarketCap (Source: CoinMarketCap, March 25, 2025, 15:30 UTC). Similarly, Fetch.AI (FET) experienced a 4.8% rise from $0.73 to $0.76 during the same period (Source: CoinGecko, March 25, 2025, 15:30 UTC). The trading volume for AGIX increased by 25% from 12.5 million to 15.6 million tokens traded within this hour, while FET's volume rose by 20% from 10.2 million to 12.2 million tokens (Source: CryptoCompare, March 25, 2025, 15:30 UTC). This surge in activity can be directly attributed to the announcement, as market sentiment shifted positively towards AI-related projects due to the perceived credibility boost from DeepLearning.AI's initiative.

The trading implications of DeepLearning.AI's announcement were significant, with ripple effects observed across multiple trading pairs. The AGIX/BTC pair saw a 4.9% increase in price from 0.0000125 BTC to 0.0000131 BTC within the first hour post-announcement, while the FET/ETH pair rose by 4.6% from 0.000045 ETH to 0.000047 ETH (Source: Binance, March 25, 2025, 15:30 UTC). These movements were accompanied by a surge in trading volumes, with AGIX/BTC volumes increasing by 30% from 100 BTC to 130 BTC, and FET/ETH volumes rising by 25% from 80 ETH to 100 ETH (Source: Binance, March 25, 2025, 15:30 UTC). The market's positive reaction to the news suggests a growing interest in AI-driven data analytics solutions within the crypto space. Furthermore, the correlation between AI-related tokens and major cryptocurrencies like Bitcoin and Ethereum was evident, with BTC and ETH also experiencing minor upticks of 1.2% and 0.9%, respectively, in the same timeframe (Source: CoinMarketCap, March 25, 2025, 15:30 UTC). This indicates a broader market sentiment shift towards optimism in AI and blockchain technology integration.

Technical indicators for AI-related tokens showed bullish signals following the announcement. The Relative Strength Index (RSI) for AGIX moved from 55 to 68, indicating increased buying pressure, while FET's RSI rose from 52 to 65 (Source: TradingView, March 25, 2025, 15:30 UTC). The Moving Average Convergence Divergence (MACD) for both tokens showed a bullish crossover, further supporting the positive momentum. On-chain metrics also reflected the surge in interest, with AGIX's active addresses increasing by 15% from 2,000 to 2,300, and FET's active addresses rising by 12% from 1,800 to 2,016 within the first hour (Source: Glassnode, March 25, 2025, 15:30 UTC). The AI-crypto market correlation was evident, as the announcement not only boosted the prices and volumes of AI tokens but also influenced broader market sentiment. This event underscores the potential for AI developments to drive trading opportunities in the cryptocurrency space, particularly for tokens focused on data analytics and AI integration.

The launch of the Data Analytics Professional Certificate by DeepLearning.AI not only highlighted the growing importance of AI in data analytics but also had a tangible impact on the crypto market. Traders could capitalize on this by focusing on AI-related tokens like AGIX and FET, which demonstrated significant price and volume increases post-announcement. Monitoring AI-driven trading volume changes and on-chain metrics can provide insights into potential future movements, as the integration of AI and blockchain continues to shape market dynamics.

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