Latest news with #Tableau
Economic Times
a day ago
- Business
- Economic Times
8 Top-Rated Online Data Science Certification Courses for 2025
Synopsis Data Science certification courses equip individuals with practical, job-ready skills in the areas of analytics, programming, and machine learning. In addition to providing practical skills, these certifications demonstrate expertise to employers, enhance hiring potential, and give individuals an important edge in the accelerating areas of AI, data analysis, and business intelligence. Data Science certification courses are ideal for both beginners and seasoned professionals who wish to advance their careers. Team ProductLine In today's data-driven environment, organisations in every sector are using data and analytics to make decisions, deliver innovations, and have a competitive advantage. As a result, the demand across all levels for those professionals, primarily data scientists, to understand and analyse data is higher than ever. Here comes Data Science certification courses—the best way to build, prove, and advance your capability in the rapidly developing world of data science. Whether you are an early career professional seeking a career change or an experienced professional wanting to reskill in this field, Data Science certification courses can provide you with the best framework and hands-on experience in tools (e.g., Python, R, SQL, Tableau, and machine learning) to bridge the gap between theoretical understanding and what businesses need data professionals to know. Moreover, obtaining a Data Science certification can improve your employability and earning potential as the need for skilled data scientists grows in popularity. Data Science certification courses can be delivered in flexible, self-directed formats and have you working on authentic projects, so getting a jump on your or a new career is attractive and less detailed. Robert Jack, the co-founder of Ian Martin, recognises that obtaining a Data Science certification is not only a credential, but it is a job enhancer along your journey into the digital economy—one important investment, for yourself and your an era where data is central to decision-making, data science certifications offer credibility and structure to your learning journey. They are essential for building a strong foundation and staying competitive in the modern workforce. High Demand in the Industry: This field is one of the fastest-growing areas of study, offering career opportunities across nearly all industries and paying exceptionally well. This field is one of the fastest-growing areas of study, offering career opportunities across nearly all industries and paying exceptionally well. Technical Skill Validation: Certifications serve as proof of your technical skills, indicating to employers that you are ready for practical challenges. Certifications serve as proof of your technical skills, indicating to employers that you are ready for practical challenges. Helps Fill the Gap: Certifications help fill the gap between academic learning and industry practical needs. Certifications help fill the gap between academic learning and industry practical needs. Great for Career Change: Certifications help work professionals transitioning from a non-technical background into a data role. Certifications help work professionals transitioning from a non-technical background into a data role. Staying Current: Certifications help ensure you stay up to date in terms of tools, technologies, and trends in the field of data science. The Data Science Certification Courses don't just teach theory—they equip you with hands-on skills needed to solve real-world problems. Whether you're starting fresh or upskilling, certifications pave the way for better roles and higher earning potential. Practical Experience: Gain hands-on experience through real-world projects and tasks using Python, SQL, R, and machine learning skills. Gain hands-on experience through real-world projects and tasks using Python, SQL, R, and machine learning skills. Better Employability: Helps your resume stand out for recruitment and hiring personnel in data-related positions. Helps your resume stand out for recruitment and hiring personnel in data-related positions. Increased Confidence: Helps to develop your confidence to work independently on data-oriented projects. Helps to develop your confidence to work independently on data-oriented projects. Flexible Learning: Many of these courses are self-paced and online, therefore suitable to fit into your schedule. Many of these courses are self-paced and online, therefore suitable to fit into your schedule. A Stepping Stone for Future Roles: You will be qualified for analytics, AI, machine learning, or business intelligence jobs. You will be qualified for analytics, AI, machine learning, or business intelligence jobs. A Seamless Transition to Further Study: Can be a launch pad to higher post-graduate degrees or specialisations in data science Course Expert: Metla Sudha Sekhar Course Description: Become proficient in Python rapidly with ChatGPT! In this six-hour course, beginners and future programmers can develop critical programming skills with the use of AI. You'll learn how to write, debug, and create real-world applications, while also learning essential Python concepts to advanced concepts like object-oriented programming (OOP), automation, and error handling with AI assistance. Course details Course Title: Master's in Python Language Quickly Using the ChatGPT Open AI Master's in Python Language Quickly Using the ChatGPT Open AI Language: English English Duration: 6 hours 6 hours Price: ₹1,649 (One-time payment) ₹1,649 (One-time payment) Learning Format: HD video lectures, coding exercises, AI-guided challenges HD video lectures, coding exercises, AI-guided challenges Support: Hands-on assignments and real-world projects Hands-on assignments and real-world projects Platform Requirement: Internet-enabled device What you'll learn How to use ChatGPT effectively to learn and write in Python To program in Python that is clean, efficient, and scalable. To understand core Python concepts: syntax, variables, data types, and control flow. To create reusable code through functions. To handle errors and validate user inputs. To understand and implement object-oriented programming (OOP), including inheritance, encapsulation and polymorphism. To create real-world applications and interactive projects. To automate tasks and solve real-world coding problems. To use Python for business automation, web development, and data science. To develop problem-solving skills using AI-powered coding practice. Who Should Enrol Target Audience: Beginners with zero programming background, Students exploring tech and AI tools, Aspiring software developers, Data analysts, freelancers, and tech enthusiasts, Anyone looking to build or shift to a Python-focused career Beginners with zero programming background, Students exploring tech and AI tools, Aspiring software developers, Data analysts, freelancers, and tech enthusiasts, Anyone looking to build or shift to a Python-focused career Course focus: Hands-on coding with the aid of AI, Real-world project building, Foundation to advanced-level Python skills, Practical applications in automation and AI development Hands-on coding with the aid of AI, Real-world project building, Foundation to advanced-level Python skills, Practical applications in automation and AI development Prerequisites: A device with internet access, Willingness to learn and explore coding, no prior programming experience required Explore: Python Language Quickly Using the ChatGPT OpenAI course here Course Expert: Metla Sudha Sekhar Course Description: Accelerate your Python programming journey with AI-Powered Python Mastery with Tabnine! Get the knowledge and the skills to implement Tabnine's intelligent code completion in your workflow, save coding speed and structure, and master Python core concepts, OOP, and generative AI tools, all for just ₹799 in this hands-on course for beginners. Course details Course Title: AI-Powered Python Mastery with Tabnine: Boost Your Coding Skills AI-Powered Python Mastery with Tabnine: Boost Your Coding Skills Price: ₹799 (One-time payment) ₹799 (One-time payment) Language: English English Learning Mode: Step-by-step tutorials, real-world examples, AI-assisted practice Step-by-step tutorials, real-world examples, AI-assisted practice Support: Code troubleshooting, project-based learning Code troubleshooting, project-based learning Key Tools Used: Tabnine AI Assistant Tabnine AI Assistant Access Requirements: Internet-enabled device, IDE with Tabnine installed What you'll learn Understand what Tabnine is and how it speeds up Python development Learn the basics of Python: variables, data types and type casting Be introduced to the object-oriented programming concepts of inheritance and polymorphism Increase coding efficiency using an AI code completion with whole-line & function-level suggestions Learn about generative AI tools for creating complex Python code Incorporate Tabnine into your regular coding workflow Experience best practices for maximising productivity with AI-driven development Mitigate coding mistakes using intelligent AI suggestions Become confident in writing clean, structured Python code quickly Who Should Enrol Target Audience: Beginners looking to start coding with smart AI help, Intermediate Python learners eager to code faster and better, AI and machine learning enthusiasts exploring AI in software development, Data science learners interested in AI-driven coding solutions, Developers aiming to streamline and speed up daily programming tasks Beginners looking to start coding with smart AI help, Intermediate Python learners eager to code faster and better, AI and machine learning enthusiasts exploring AI in software development, Data science learners interested in AI-driven coding solutions, Developers aiming to streamline and speed up daily programming tasks Course focus: Fast, clean Python coding with the aid of Tabnine, Real-world coding automation and AI integration, boosting productivity and accuracy with intelligent code suggestions Fast, clean Python coding with the aid of Tabnine, Real-world coding automation and AI integration, boosting productivity and accuracy with intelligent code suggestions Prerequisites: Basic knowledge of Python (helpful but not mandatory), A computer with internet access, Willingness to learn and try AI-assisted development tools Explore AI-Powered Python Mastery with Tabnine: Boost Your Coding Skills course hereCourse Expert: Metla Sudha Sekhar Course Description: Learn MySQL from the ground up, and take your data science career to the next level. This introductory course will teach you how to write SQL queries, how to manage databases, and how to mine that data for insights to help you make better business choices. You will develop these skills through hands-on exercises, starting from creating databases, to learning how to run advanced queries, and much more. This course is geared towards aspiring data analysts, business professionals and students looking to learn new skills. Course details Course Title: MySQL for Beginners: Learn Data Science and Analytics Skills MySQL for Beginners: Learn Data Science and Analytics Skills Instructor: Metla Sudha Sekhar Metla Sudha Sekhar Language: English English Duration: 6.2 hours 6.2 hours Price: ₹2,499 (One-time payment) ₹2,499 (One-time payment) Learning Format: HD video lessons, practical exercises, downloadable resources HD video lessons, practical exercises, downloadable resources Software Used: MySQL Server, MySQL Workbench MySQL Server, MySQL Workbench Hands-on Tools: Excel/CSV data import-export, SQL Query Writing Excel/CSV data import-export, SQL Query Writing Support: Real-world projects, backup & restore techniques What you'll learn Install MySQL Server and Workbench on your machine Understand relational databases and MySQL's architecture Create databases and tables using keys and indexing Master basic SQL commands: SELECT, INSERT, UPDATE, DELETE Use WHERE, ORDER BY, and GROUP BY to filter, sort, and summarise Manipulate tables with JOINs (INNER, LEFT, RIGHT, and FULL) Create data-driven reports and business insights Import/export data as Excel or CSV files Write advanced SQL queries for analytics Learn backup, security, and restoration of databases Who Should Enrol Target Audience: Beginners, students, professionals, and entrepreneurs eager to explore MySQL and gain essential data skills for real-world analytics. Beginners, students, professionals, and entrepreneurs eager to explore MySQL and gain essential data skills for real-world analytics. Course focus: Practical SQL skills, data querying, business intelligence, and MySQL tools to empower decision-making and launch data science careers. Practical SQL skills, data querying, business intelligence, and MySQL tools to empower decision-making and launch data science careers. Prerequisites: No coding experience needed—just a computer with internet access, curiosity to learn, and interest in using data effectively. Explore MySQL for Beginners: Learn Data Science and Analytics Skills course hereCourse Expert: Prince Patni Course Description: In this beginner-friendly course, you will learn to master Power BI with Microsoft Fabric, beginning with the basics and progressing to advanced features. You will learn how to build powerful, dynamic reports, perform real-time analytics, and use a variety of tools, such as Data Lakes and AI-driven insights. This course will ready you for roles in data analytics, business intelligence, or cloud-based services, where your skill set can be applied to real-world challenges. Course details Course Title: Learn Power BI with Microsoft Fabric: Complete Course Learn Power BI with Microsoft Fabric: Complete Course Instructor: Prince Patni Prince Patni Language: English English Learning Mode: Video lectures, live examples, real-world projects Video lectures, live examples, real-world projects Structure: Step-by-step tutorials from beginner to advanced Step-by-step tutorials from beginner to advanced Key Tools Covered: Power BI, Microsoft Fabric, Data Lake, AI Insights Power BI, Microsoft Fabric, Data Lake, AI Insights Access Requirements: Internet-enabled device, browser-based learning Internet-enabled device, browser-based learning Total Lectures: 34 (approx.) 34 (approx.) Pricing: ₹399 (One-time payment) What you'll learn Examine Microsoft Fabric and its integrations Microsoft Fabric Power BI Environment walkthrough Building reports with published datasets in Power BI Creating visuals and dashboards from scratch Using reporting time savers such as copy and paste Loading and managing files within Power BI Experience Understanding how to generate items in Power BI, such as dashboards, visuals, etc. Finding out about the advanced features of Power BI in Microsoft Fabric Understanding real-time analytics, AI insights, Data Lakes, etc. Bringing your learning into practice on real-world data projects Who Should Enrol Target Audience: IT professionals, students, Power BI users, and cloud/data enthusiasts seeking to master Microsoft Fabric and data analytics tools. IT professionals, students, Power BI users, and cloud/data enthusiasts seeking to master Microsoft Fabric and data analytics tools. Course focus: Equips learners with skills in Power BI reporting, Microsoft Fabric integration, data visualisation, and real-time analytics for career advancement. Equips learners with skills in Power BI reporting, Microsoft Fabric integration, data visualisation, and real-time analytics for career advancement. Prerequisites: No prior experience required—just a device with internet access and a keen interest in data analytics and Microsoft cloud tools. Explore Learn Power BI with Microsoft Fabric: Complete Course hereCourse Expert: Rafael Irizarry Course Description: Accomplish demanding data science skills with HarvardX's Professional Certificate in Data Science. Gain the abilities needed to use R programming, perform statistical analysis, data wrangling, visualisation, and machine learning with real-world case studies. This self-paced program is a solid foundation for aspiring professionals in data analysis, research, or machine learning in almost any field. Course details Course Title: Professional Certificate in Data Science Professional Certificate in Data Science Institution: HarvardX (via edX) HarvardX (via edX) Platform: edX edX Pace: Self-paced Self-paced Time Commitment: 2–3 hours per week 2–3 hours per week Price: $1,481 $1,481 Difficulty: Introductory Introductory Credit: Premier Certificate Premier Certificate Subjects: Data Science, Mathematics, Computer Science Data Science, Mathematics, Computer Science Topics Covered: Data Mining, Data Analysis, Data Visualisation, Probability, Statistics, R Programming What you'll learn Core R programming for data science applications Key statistical concepts: probability, inference, and modelling Data visualisation with ggplot2 and wrangling with dplyr using the tidyverse Use of essential data science tools: Unix/Linux, Git, GitHub, and RStudio Implementation of machine learning algorithms Application of data science through real-world case studies, including health, economics, finance, sports, and politics Writing reproducible, well-documented data science reports and analyses Who Should Enrol Target Audience: Ideal for aspiring data scientists, analysts, researchers, and professionals from any domain wanting to gain strong foundational data skills. Ideal for aspiring data scientists, analysts, researchers, and professionals from any domain wanting to gain strong foundational data skills. Course focus: Emphasises hands-on experience in R, real-world data application, and practical skills essential for statistical analysis and machine learning. Emphasises hands-on experience in R, real-world data application, and practical skills essential for statistical analysis and machine learning. Prerequisites: No prior experience in programming or statistics needed—just curiosity, commitment, and access to a computer with internet connectivity. Explore Professional Certificate in Data Science By Harvard University course hereCourse Expert: Ryan Rosario, Sameera Poduri, Eric Rynerson Course Description: Embark on your data science career with this immersive, 100% online Data Science Bootcamp! You will learn job-ready skills in Python, machine learning, and data storytelling. You will have 1-on-1 mentorship, finish capstone projects, and graduate in as little as 6 months—part-time. Plus, there is a job guarantee or your money back. Learn AI tools made to have a real-world impact. Course details Course Title: Data Science Bootcamp Data Science Bootcamp Duration: 6 months (part-time) 6 months (part-time) Learning Mode: 100% online 100% online Support: 1-on-1 mentorship + career coaching 1-on-1 mentorship + career coaching Job Guarantee: Yes (or money-back policy) Yes (or money-back policy) Capstone Projects: Included Included AI Learning Units: Included (NEW! AI for Data Professionals) Included (NEW! AI for Data Professionals) Partnerships: Industry collaboration, including DataCamp Industry collaboration, including DataCamp Curriculum Type: Project-based learning with videos, articles, and hands-on practice Project-based learning with videos, articles, and hands-on practice Optional Prep Track: Foundations to Core (for beginners) What you'll learn The Six-Step Data Science Method (DSM): Defining the problem to documenting the project The Python stack for analysis and model building Data wrangling strategies for cleaning and reshaping data Machine learning: algorithms, evaluation, and implementation Telling a data story and communicating findings AI tools for automating analysis and detecting patterns Real-world experience through capstone projects and industry-inspired challenges Who Should Enrol Target Audience: Aspiring data scientists, career switchers, or tech professionals looking to gain full-stack data skills with industry mentorship. Aspiring data scientists, career switchers, or tech professionals looking to gain full-stack data skills with industry mentorship. Course focus: Practical, job-ready data science and AI skills using real-world projects, mentorship, and personalised career guidance to land roles. Practical, job-ready data science and AI skills using real-world projects, mentorship, and personalised career guidance to land roles. Prerequisites: Basic coding in Python or another general-purpose language; familiarity with stats. Beginners can start with the Foundations to Core track. Explore Data Science Bootcamp By Springboard course hereCourse Expert: Professor Chris Anderson Course Description: Gain your Data Analytics Certificate from Cornell University and gain a command of analytical decision-making. You'll learn how to collect, visualise, and analyse business data based on scientific methods. With an emphasis on project-based learning and expert instruction, you will create a decision-making framework based on data literacy, giving you the opportunity to make data-driven recommendations that enrich organisational performance across functions. Course details Program Title: Data Analytics Cornell Certificate Program Data Analytics Cornell Certificate Program Institution: Cornell University (via eCornell) Cornell University (via eCornell) Instructor: Professor Chris Anderson Professor Chris Anderson Format: Fully Online Fully Online Time Commitment: 9 weeks (3–5 hours per week) 9 weeks (3–5 hours per week) Cost: $3,900 → $2,730 (with code LEARN30) $3,900 → $2,730 (with code LEARN30) Certificate: Premier Certificate upon completion Premier Certificate upon completion Learning Format: Video lectures, hands-on exercises, facilitated peer discussions Video lectures, hands-on exercises, facilitated peer discussions Live Sessions: Yes (small-class format) Yes (small-class format) Real-World Application: Yes, with projects tied to workplace data Yes, with projects tied to workplace data Support: Personalised feedback from expert facilitators What you'll learn Understand and utilise summary statistics and descriptive analytics Explore beyond averages to find meaningful insights in your data Create a methodology for effective decision-making in your business Learn to identify uncertainty and reduce uncertainty through variable selection Align statistical evidence with business meaning or intuition for best results. Identify and select the correct data and relationships for modelling Improve decision-making by utilising predictive models Effectively communicate your data-driven insights or information to your stakeholders. Leverage help sheets and toolkits to assist with data management and interpretation. Who Should Enrol Target Audience: Business professionals, analysts, and managers aiming to strengthen their decision-making skills using real-world data and structured analysis. Business professionals, analysts, and managers aiming to strengthen their decision-making skills using real-world data and structured analysis. Course focus: Emphasises functional literacy in analytics, combining statistics with business intuition to support impactful, data-driven decision-making in any role. Emphasises functional literacy in analytics, combining statistics with business intuition to support impactful, data-driven decision-making in any role. Prerequisites: Familiarity with Excel and basic statistics; must complete Understanding and Visualising Data before taking advanced modules in this program. Explore Data Analytics Cornell Certificate Program course hereCourse Description: Advance your career in data science with Eastern's fully online, self-paced Certificate in Data Science. Ideal for both beginners and professionals, this 12-credit program teaches Python, SQL, R, and Tableau. Complete the certificate in as little as 4 months and apply credits toward a Master's in Data Science or Analytics. Course details Program Title: Certificate in Data Science Certificate in Data Science Institution: Eastern Eastern Format: 100% Online | Self-Paced 100% Online | Self-Paced Duration: 12 credits (finish in as little as 4 months) 12 credits (finish in as little as 4 months) Start Dates: Every 7 weeks Every 7 weeks Cost: $3,960 total ($330 per credit x 12 credits) $3,960 total ($330 per credit x 12 credits) Financial Aid: Eligible for federal aid and military benefits Eligible for federal aid and military benefits Progression Path: Credits count toward MS in Data Science or Data Analytics Credits count toward MS in Data Science or Data Analytics Support: Faculty-led guidance with flexible pacing Faculty-led guidance with flexible pacing Tools Covered: Python, R, SQL, Tableau What you'll learn Learn to code in Python from the ground up Gain hands-on experience with Tableau for data visualisation Master SQL for querying and managing relational databases Build practical knowledge of R for statistical computing Apply data skills across business, marketing, and tech fields Work at your own pace with expert faculty support Prepare for graduate study or immediate career entry Build a strong foundation in analytics and data storytelling Who Should Enrol Target Audience: Ideal for beginners and working professionals seeking flexible, foundational training in data science and a pathway to graduate study. Ideal for beginners and working professionals seeking flexible, foundational training in data science and a pathway to graduate study. Course focus: Teaches industry-standard tools—Python, R, SQL, Tableau—via a self-paced, credit-bearing program designed for career advancement or academic transition. Teaches industry-standard tools—Python, R, SQL, Tableau—via a self-paced, credit-bearing program designed for career advancement or academic transition. Prerequisites: No prior experience required; suitable for any background. Must hold a bachelor's degree to qualify for this post-baccalaureate certificate. Explore Certificate in Data Science By eastern university course here Ans. An online data science certification course is a structured learning program that teaches data science tools and techniques, such as Python, SQL, R, statistics, machine learning, and data visualisation—typically through video lessons, assignments, and real-world Anyone interested in pursuing a career in data science or upskilling in analytics can benefit—this includes students, working professionals, IT professionals, engineers, business analysts, and career No, many beginner-friendly courses require no prior experience. Some may recommend basic knowledge of statistics or programming, but many also include foundational modules to get you You'll typically learn Python, R, SQL, Tableau, statistics, machine learning, data wrangling, data visualisation, and how to work with real datasets using industry-relevant Course duration varies. Some can be completed in 4–6 weeks, while others may take 3–6 months, depending on the depth and your pace. The above content is an initiative by Times Internet content team to explain product features and simplify jargons for its users. It should not be construed as an endorsement to buy. Times Internet may make a very small commission from its sale if one chooses to buy the product from any of the links in this article.
Time of India
a day ago
- Business
- Time of India
Marketing vs. business analytics: Which degree offers better global payoff?
As students around the world weigh their options in business education, two degrees frequently rise to the top: Marketing and Business Analytics. Both offer strong career opportunities in a global economy that values digital fluency, data-driven decision-making, and strategic communication. Tired of too many ads? go ad free now But with tuition fees rising and the job market constantly evolving, many students are asking: which of the two offers a better return on investment? Understanding the core Business Analytics focuses on using data to inform strategy. Students learn statistical analysis, programming, and data visualisation through tools like Python, SQL, and Tableau. The curriculum is designed to develop professionals who can analyze trends, create forecasts, and drive insights across departments. Marketing, by contrast, is rooted in understanding people—what drives their choices, how they respond to messaging, and how to influence behaviour through campaigns. The coursework often includes consumer psychology, branding, digital strategy, and market research, blending creativity with performance metrics. As marketing evolves, students also gain exposure to analytics platforms and automation tools. Career pathways and global demand Graduates in Business Analytics typically enter roles such as data analyst, operations strategist, or business intelligence consultant. These positions exist across sectors, from healthcare and finance to e-commerce and logistics, and are in particularly high demand in tech-driven economies like the US, Singapore, Germany, and the UAE. Marketing graduates often find roles as brand managers, content strategists, digital marketers, or growth specialists. Tired of too many ads? go ad free now These roles are essential to customer-facing industries such as media, fashion, FMCG, and tech startups. The rise of digital platforms has made marketing more metrics-oriented, leading to hybrid positions like performance marketers and marketing analysts. According to LinkedIn's 2025 Global Jobs Outlook, both fields are growing fast—but with a notable trend: employers increasingly seek professionals who understand both creativity and data. This means cross-skilled graduates from either field can often pivot into high-growth roles with broader impact. Earning Potential and Return on Investment When it comes to entry-level salaries, Business Analytics usually commands a higher base pay. In countries like the United States, Germany, and Canada, starting salaries for analytics professionals often range between $65,000 and $90,000. The technical skill set, coupled with demand across industries, makes it a financially strong starting point. Marketing salaries vary more widely, depending on the specialisation and market size. Traditional marketing roles may start lower, but professionals in digital marketing, influencer strategy, or e-commerce can see rapid growth, especially in markets like the UK, Southeast Asia, and Australia. The ROI for a marketing degree often grows over time, particularly for those who take on leadership roles or specialise in high-demand niches like SEO, paid media, or brand strategy. The impact of AI and future-proofing your degree Artificial intelligence is changing the nature of both professions. In analytics, AI is automating tasks like data cleaning and forecasting, pushing professionals to focus more on strategic insight and cross-functional collaboration. Business analysts now need strong communication and storytelling skills to make their insights actionable. Marketing is also undergoing a major transformation. AI-generated content, automated ad targeting, and personalised customer journeys are reshaping how marketers work. This shift requires future marketers to not only understand creative storytelling but also how to use data and technology to enhance it. Both degrees now demand adaptability. Students pursuing Business Analytics will need to stay current with emerging tools and coding languages, while marketing students must keep up with digital platforms, changing consumer behaviour, and ethical considerations around AI-led persuasion. Which degree offers the better global payoff? There's no one-size-fits-all answer. Your ideal degree depends on your interests, strengths, and goals. If you're analytical, enjoy working with numbers, and want to build a career in strategy or tech, Business Analytics may offer a higher immediate payoff and long-term security. If you're creative, people-oriented, and passionate about shaping brand experiences, Marketing provides greater flexibility and upward mobility, especially in industries where storytelling remains king. Ultimately, the best global payoff comes from blending skills across both domains. Many universities now offer interdisciplinary tracks, like Marketing Analytics or Digital Strategy, that prepare students to thrive at the intersection of data and creativity. In a world increasingly driven by both logic and emotion, professionals who can bridge that gap will be the most valuable, no matter which degree they chose to begin with. TOI Education is on WhatsApp now. Follow us .
Yahoo
3 days ago
- Business
- Yahoo
Analysts Positive on Salesforce, Inc. (CRM) Amid Mixed Stock Performance
Salesforce, Inc. (NYSE:CRM) secures a place on our list of the . Copyright: drserg / 123RF Stock Photo Salesforce, Inc. (NYSE:CRM) is demonstrating a mixed performance as of the time of writing. The stock last closed at $268.35, an increase of 1.74% from the previous trading day. The stock outperformed the broader market, which returned 0.80%. Meanwhile, the stock has fallen 1.28% over the past month, underperforming both the technology-Software Application industry and the market, which gained 1.8% and 4.5%, respectively. However, analysts have expressed optimism regarding the company's future, projecting earnings of $2.77 per share for the upcoming quarter, an 8.2% increase on a YoY basis. On the other hand, full-year earnings and revenue are projected to increase by 10.78% and 8.64%, respectively. At the same time, Salesforce, Inc. (NYSE:CRM) is trading at a forward price-to-earnings ratio of 23.64x, a discount compared to the industry average of 27.42x. Previously, on July 16, 2025, Citizens JMP maintained a 'Market Outperform' rating on Salesforce, Inc. (NYSE:CRM) with a price target of $430, citing future growth driven by the company's AI and cloud services. Offering Agentforce, Data Cloud, Salesforce Starter, and Tableau, Salesforce, Inc. (NYSE:CRM) provides customer relationship management (CRM) technology, bridging companies and customers. It is one of the best ESG stocks. While we acknowledge the potential of CRM as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: 14 Cheap Transportation Stocks to Buy According to Analysts and Top 10 AI Infrastructure Stocks to Buy Now. Disclosure: None. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
News18
6 days ago
- Business
- News18
AI Threatens Jobs, Experts Suggest 5 Ways To Stay Ahead
Last Updated: AI is transforming industries, but concerns about job displacement persist. Learn five key skills to future-proof your career in an AI-driven world. Artificial Intelligence, or AI, is a rapidly growing industry and there are no signs of slowing down. From automating simple office tasks to creating content, the technology is transforming the way we think, operate, hire and grow. It comes with both opportunities and threats. While AI can revolutionise various sectors, concerns exist about potential misuse, job displacement and even existential risks. Many fear AI taking their jobs. According to research on over 38,000 global workers, more than 30 per cent of workers felt concerned about AI replacing them in their roles and were actively looking for or interviewing for a new job. How do you future-proof your career in the AI era? Developing future-proof skills is no longer an option—it is a necessity to thrive in an AI-powered world. Here are five ways that will help you keep ahead in your career. AI technologies advance rapidly; therefore, it is essential to embrace lifelong learning. Keep up with the latest industry trends, tools, and technologies. To stay competitive, take online classes, attend webinars, and learn new skills on a regular basis. One of the major reasons people look for AI is to solve their problems. Machines can process data, but humans are better at thinking critically and solving complicated problems. Improve your abilities to analyse problems, assess alternatives, and implement successful solutions. That's it! That's the trick: in this competitive world, you have to be creative to come up with new ideas that resonate with the audience. Artificial intelligence excels at automation but lacks human creativity. Think beyond the box, generate fresh ideas and develop innovative solutions to problems in your profession. Creativity will always be a unique human trait. Data Literacy In the AI era, understanding how to collect, evaluate, and use data is a valuable skill. To navigate data-driven decision-making processes, learn basic programming and statistics, as well as tools like Python, SQL, and Tableau that will help you succeed. Emotional Intelligence What sets humans apart from technology is our emotions and feelings. Develop self-awareness, empathy, and interpersonal skills to promote meaningful connections and effective teamwork. By focusing on these five areas, you can position yourself to thrive in an AI-driven world while keeping your job secure and relevant. Layoffs due to AI: AI-powered systems are becoming increasingly capable of performing tasks previously done by humans, especially in areas like data entry, customer service, and manufacturing. Major tech companies like Microsoft, IBM, and Google have already initiated layoffs in 2025, citing AI as a contributing factor. view comments Disclaimer: Comments reflect users' views, not News18's. Please keep discussions respectful and constructive. Abusive, defamatory, or illegal comments will be removed. News18 may disable any comment at its discretion. By posting, you agree to our Terms of Use and Privacy Policy.
Time of India
19-07-2025
- Business
- Time of India
Zerodha cofounder Nikhil Kamat has a job offer for you: Here's who can apply
Zerodha co-founder Nikhil Kamath is seeking top talent for his team. Kamath is recruiting for his personal investment team in Mumbai, seeking highly analytical minds for two senior positions: a Senior Data Scientist and a Senior Researcher . Both roles will work directly with Kamath and his core team, contributing to high-stakes investment decisions. Kamath announced the openings on LinkedIn, saying they will be working closely with him. Here's his full Linkedin post: You'll be working closely with me and my investment team. We're currently looking for: 1. A Senior Data Scientist who can turn data into smart insights. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like American Investor Warren Buffett Recommends: 5 Books For Turning Your Life Around Blinkist: Warren Buffett's Reading List Undo 2. A Senior Researcher who can dig deep into sectors and trends. The executive has also attached a link where you can apply. Who all can apply for job at Zerodha The Senior Researcher role targets candidates with 6–8 years of experience in deep-sector research, particularly those with backgrounds in economics, business, or social sciences. Responsibilities include synthesising extensive information, developing investment theses across critical sectors like energy, AI, and media, and rigorously testing ideas with academics and industry experts. For the Senior Data Scientist position, Kamath is looking for individuals with 5–8 years of experience in analytics and proficiency in tools such as Python, SQL, and Business Intelligence platforms like Tableau or Power BI. This role involves designing and building models to inform investment decisions, identify performance anomalies, and forecast revenue and risk, combining statistical expertise with business acumen. Kamath and the job description do not provide details on the compensation, however, it may be a big opportunity in itself to work directly with Nikhil Kamath, one of India's most prominent investors. AI Masterclass for Students. Upskill Young Ones Today!– Join Now
