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Virus Corona Extends, the exchange Rate of the Rupiah Retreated the Most In Asia

Berita Terkini 2020-02-24

Nilai tukar rupiah terhadap dolar Amerika Serikat (AS) anjlok pada perdagangan awal pekan ini.

Rupiah memimpin pelemahan mata uang Asia terhadap Greenback.

Pelemahan ini terjadi di tengah meningkatnya kekhawatiran akan meluasnya virus corona ke luar Tiongkok.Rupiah langsung dibuka terkoreksi pada perdagangan Senin (24/2).

Berdasarkan data Bloomberg, rupiah dibuka pada level 13.777 per dolar AS atau terkoreksi 0,12% dibandingkan penutupan perdagangan Jumat (21/2) pekan lalu.

Koreksi terus membesar hingga saat berita ini ditulis berada pada posisi Rp 13.885 per dolar AS, atau terkoreksi 0,91% dari penutupan Jumat pekan lalu.Mayoritas mata uang Asia lainnya juga melemah terhadap dolar AS.

Namun, mata uang Garuda tercatat melemah paling dalam.

Mukesh Ambani, Gautam Adani surpass China’s richest in billionaire list

harkirat singh 2021-06-09

India’s business tycoons Mukesh Ambani and Gautam Adani have surpassed Chinese industrial magnates, like Alibaba founder Jack Ma, within the latest global wealth rankings.The current wealth rankings elevate Ambani and Adani to the richest businessmen in Asia, as per a Financial Times report citing Bloomberg data.

the previous now occupies the 12th position within the global rankings – one space behind the previous CEO of Microsoft Steve Ballmer.While Reliance Industries chairman Ambani’s wealth is estimated to be $84 billion, the internet worth of the director of the Adani conglomerate has risen to $78 billion, as per Bloomberg data.Reliance Industries may be a multinational conglomerate working within the fields of telecommunications, energy, and retail.

Adani Group, the flagship company of Adani Enterprises, is involved in the areas of energy utility and transport logistics.CEO of Marcellus Investment Managers Saurabh Mukherjea has indicated that an increase within the wealth of the 2 Indian capitalists suggests that the profits among Indian businesses are accumulating into the hands of a couple of tycoons, understood as “promoters”.Read more

Mastering Data Science: A Comprehensive Guide for Advancement

Vicky M 1d

If you’re looking to kickstart your career in data science, consider enrolling in a comprehensive Data Science Training in Chennai to acquire the skills and knowledge needed for success in this dynamic field. Exploring Advanced Machine Learning TechniquesAdvancement in Machine Learning: Explore a diverse array of machine learning algorithms, spanning regression, classification, clustering, and deep learning. Leveraging Data Visualization for Effective CommunicationData Visualization Mastery: Master data visualization tools such as Tableau, matplotlib, and seaborn to craft compelling visual narratives. Engagement with the Data Science CommunityCommunity Participation: Engage actively with data science communities, attend meetups, and contribute to online forums to connect with peers and industry professionals. Conclusion: Navigating the Path to Data Science MasteryEmbarking on the quest to master data science is a thrilling expedition filled with exploration and discovery.

Which Data Role Suits You Best: Data Engineer, Data Analyst, or Data Scientist?

Gour 1d

Three prominent roles that often come up in this domain are Data Engineer, Data Analyst, and Data Scientist. In this blog post, we'll delve into the specifics of Data Engineer, Data Analyst, and Data Scientist roles to help you make an informed decision. And remember, if you're looking to kickstart your journey in data analytics, a Data Analytics Course Training can be immensely beneficial. Skillset Comparison:While Data Engineers, Data Analysts, and Data Scientists all work with data, their skill sets and job responsibilities differ significantly. Whether you're drawn to building data pipelines as a Data Engineer, analyzing data trends as a Data Analyst, or developing predictive models as a Data Scientist, there's a path for you in the world of data analytics.

Is Data Analytics Challenging? Strategies for Meeting the Difficulty

Pradeep Ghosh 2d

But for many, the prospect of delving into the realm of data analytics can seem daunting. Is data analytics hard? Practical Application and Real-World Projects:One of the most effective ways to learn data analytics is through practical application and real-world projects. By building relationships within the data analytics community, individuals can gain valuable support and encouragement as they progress in their careers. While data analytics may present its challenges, with the right training and mindset, anyone can rise to the occasion.

Navigating the Data Science Seas: Your Journey to Expertise

Yamuna Karthik 2024-05-07

With a Data Science Course in Hyderabad, professionals can gain the skills and knowledge needed to harness the capabilities of Data Science for diverse applications and industries. Exploring the Data Science TerrainEmbarking on the data science voyage is an adventure filled with discovery and growth. To master the intricacies of Data Science and unlock its full potential, individuals can benefit from enrolling in the Data Science Certification Online Training. Ethical Considerations: Upholding Integrity and PrivacyAs stewards of data, data scientists must adhere to ethical principles and privacy regulations to ensure the responsible handling and usage of data. Conclusion: Embarking on Your Data Science ExpeditionIn conclusion, navigating the data science seas offers a journey of exploration, learning, and growth.

Realizing Opportunities: Data Science in the Pharmaceutical Sector

Gour 2024-05-07

Let's delve into the transformative role of data science in the pharmaceutical sector and explore some compelling use cases and examples. Understanding the Role of Data Science:Before delving into the specifics, it's essential to grasp the significance of data science course training in the pharmaceutical domain. By integrating data science techniques into drug discovery pipelines, pharmaceutical companies can expedite the development of novel treatments for various diseases. By leveraging data science course training, supply chain professionals can drive efficiency and resilience in pharmaceutical supply chains, ultimately benefiting patients and stakeholders alike. The integration of data science into the pharmaceutical industry is reshaping traditional practices and driving innovation at every level.

Unveiling the Future: Revolutionize Data Warehousing with Snowflake

Shreya thakar 12h

Traditional data warehousing solutions have often struggled to keep pace with the demands of modern analytics, leaving organizations searching for a more agile and scalable alternative. Enter Snowflake – the game-changer in the world of data warehousing. But perhaps the most revolutionary aspect of Snowflake is its native support for semi-structured and unstructured data, including JSON, Avro, and Parquet. In conclusion, Snowflake is not just a data warehouse; it's a catalyst for innovation. By revolutionizing the way data is stored, managed, and analyzed, Snowflake empowers organizations to unleash the full potential of their data and drive unprecedented business growth.

Exposing the Unembellished Truth of Data Science

Vicky M 2024-04-30

In recent times, data science has emerged as a prominent field, captivating many with the allure of lucrative career prospects and groundbreaking projects. Explore our leading Data Science Course in Bangalore, meticulously designed to equip you with the essential skills necessary for excelling in this continually evolving field! Peeling Back the Layers of Data Science RealityWhile data science often presents itself as glamorous, promising lucrative salaries and groundbreaking projects, the reality beneath this surface is far less extravagant. Revealing the Inner Workings: Routine Tasks and TroubleshootingContrary to popular belief, data science is not solely about pioneering models and groundbreaking insights. Continuous Growth: Flourishing in the FieldIn the fast-paced realm of data science, continuous learning is not merely an option—it's imperative.

Unveiling the Impact of Data Science for Businesses

Sarika Kumar 1d

Improved Decision Making:Data science training empowers businesses with the ability to make informed decisions based on data-driven insights. Operational Efficiency:Data science training equips businesses with the tools and techniques to streamline their operations and improve efficiency across various departments. In conclusion, data science training holds immense potential for businesses seeking to thrive in today's data-driven world. By investing in data science course training, businesses can unlock the full potential of their data, gain a competitive advantage, and chart a course towards long-term success. Embracing data science is not just a choice but a necessity for businesses looking to thrive in the digital age.

Mastering Data Analytics: A Step-By-Step Guide

Brett Johnson 2024-05-07

Understanding Data AnalyticsUnderstanding Data Analytics is a crucial step in the journey to harnessing the power of data. However, mastering data analytics requires proficiency in statistical analysis, data mining techniques, and data visualisation tools, making it a multifaceted and dynamic discipline. Mastering data analytics is a multifaceted and dynamic discipline that can significantly impact business performance and profitability. Acquiring Data Analytics SkillsTo acquire data analytics skills, consider enrolling in online courses that cover essential concepts and tools. By applying these data analytics consulting techniques, businesses can uncover trends, patterns, and correlations within their data, ultimately enhancing strategic planning and overall performance.

Build your Data Career with Data Science Certification

Ritvi Sharma 1d

Here's a detailed explanation of Data Career with Data Science Certification:Introduction to Data Science Certification: It can start by introducing the concept of data science certification, explaining what it entails, and why it has become increasingly popular in recent years. Benefits of Data Science Certification: It can then delve into the various benefits of obtaining a data science certification. Types of Data Science Certifications: There are numerous data science certification programs available, each with its own focus and requirements. Preparing for Certification: Once a certification program has been selected, it can offer tips and resources for preparing for the certification exam. Showcasing the Value of Certification: It highlight real-world examples of how data science certification has helped professionals advance their careers.

Differences Between Business Analytics and Data Analytics?

Gajendra 2024-05-03

In the realm of analytics, two terms often emerge: business analytics and data analytics. In a data analytics training, students gain proficiency in various data manipulation and analysis techniques, such as data mining, machine learning, and data visualization. Tactical InsightsAnother difference between business analytics and data analytics is their application focus. Stakeholder Engagement: From Executives to Data ScientistsThe stakeholders involved in business analytics and data analytics projects also differ. Harnessing the Power of Analytics for Business SuccessWhile business analytics and data analytics share common objectives of leveraging data to drive informed decision-making, they differ in their methodologies, applications, and stakeholder engagement.

Empowering Businesses through Data Engineering Consulting Services

Shreya thakar 2024-05-06

This is where Data Engineering Consulting Services step in, offering tailored solutions to unlock actionable insights and drive business success. One of the primary benefits of data engineering consulting is its ability to break down data silos within an organization. Moreover, data engineering consulting services play a crucial role in ensuring data quality and reliability. In the realm of big data and advanced analytics, data engineering consulting services are indispensable. In conclusion, Data Engineering Consulting Services play a pivotal role in helping businesses navigate the complexities of the data landscape.

10 Tools for Analyzing Data and Their Ideal Applications

Pradeep Ghosh 2024-05-02

In this blog post, we'll explore 10 data analysis tools and when to use them to enhance your Data Analytics Training. Excel:Excel is one of the most widely used data analysis tools due to its simplicity and versatility. Excel is ideal for small datasets and simple calculations, making it a great starting point for data analysis beginners. Python is suitable for intermediate to advanced Data Analytics Training, offering extensive capabilities for data preprocessing, visualization, and modeling. In conclusion, having the right data analysis tools is essential for success in today's data-driven world.

Askia Underwood, Chief Growth Officer at Driveline.ai - AITech Interview

martechcube 2d

Askia, can you share more about your role as Chief Growth Officer at DriveLine. ai and the key responsibilities associated with it? In my role as Chief Growth Officer, I wear several hats, all focused on one critical goal: driving revenue growth and expansion. Through a multi-pronged approach that leverages strategic partnerships, comprehensive growth strategies, I am responsible for propelling DriveLine to market leadership. To Know More, Read Full Interview @ https://ai-techpark.