#learn data analytics

[hackeocafe]

Statistics - A Full Lecture to learn Data Science (2025 Version)

Welcome to our comprehensive and free statistics tutorial (Full Lecture)! In this video, we'll explore essential tools and techniques that power data science and data analytics, helping us interpret data effectively. You'll gain a solid foundation in key statistical concepts and learn how to apply powerful statistical tests widely used in modern research and industry. From descriptive statistics to regression analysis and beyond, we'll guide you through each method's role in data-driven decision-making. Whether you're diving into machine learning, business intelligence, or academic research, this tutorial will equip you with the skills to analyze and interpret data with confidence. Let's get started!

[attitudetallyacademy]

The Smart Way to Learn Data Science – Expert Tips

Introduction

Data Science is one of the fastest-growing fields, offering exciting career opportunities in analytics, artificial intelligence, and machine learning. Whether you are a beginner or looking to upgrade your skills, the right approach can make your learning journey smooth and effective. In this blog, we will share expert tips on the smartest ways to learn Data Science and build a strong foundation in this dynamic field.

1. Start with the Basics

Before diving into complex concepts like data science and machine learning in Yamuna Vihar, ensure you have a solid understanding of basic concepts. Begin with:

Statistics & Probability – Core fundamentals for data science.

Python & R – Essential programming languages for python for data science in Yamuna Vihar.

Data Visualization – Learn tools like Power BI, Tableau, and Matplotlib.

For beginners, opting for a structured data science courses in Yamuna Vihar can be a great way to build your skills from scratch.

2. Enroll in a Data Science Training Program

A well-designed training program helps you stay on track with industry trends and get hands-on experience. Look for:

Best data analytics courses in Yamuna Vihar for practical knowledge.

Certification courses that add value to your resume.

Data analytics certification in Uttam Nagar for industry-recognized credentials.

A well-structured data science course with placement in Uttam Nagar can help you land job opportunities in top companies.

3. Learn Python for Data Analysis

Python is a must-have skill for data scientists. To get comfortable with Python, explore:

Python for data science in Yamuna Vihar for handling datasets.

Advanced data analytics in Uttam Nagar to understand deep learning and machine learning algorithms.

Hands-on projects to enhance coding and problem-solving abilities.

Taking data science certificate programs in Yamuna Vihar will help you become proficient in using Python for analytics and visualization.

4. Get Hands-On with Real-World Projects

Practical exposure is crucial in Data Science. Engage in:

Live projects with real datasets.

Kaggle competitions to solve real-world challenges.

Data analytics training in Yamuna Vihar that includes industry-level case studies.

Joining a data analytics institute in Uttam Nagar will provide hands-on projects that enhance learning.

5. Master Data Science & Machine Learning

Once you are comfortable with the basics, move on to:

Machine Learning Algorithms – Decision trees, neural networks, regression models.

Deep Learning – Advanced concepts of AI.

Data Science and Analytics in Yamuna Vihar for in-depth training on industry tools.

A structured data analytics course in Uttam Nagar helps in applying theoretical concepts to practical applications.

6. Earn a Certification for Better Career Prospects

A certification can boost your chances of getting hired. Some popular options include:

Best data science certification in Yamuna Vihar for professional growth.

Data science courses for beginners in Yamuna Vihar to kickstart your career.

Data science course with placement in Uttam Nagar to connect with recruiters.

A data science training institute in Yamuna Vihar will guide you through the certification process and help with job placements.

7. Stay Updated & Keep Practicing

Data Science is an evolving field, so continuous learning is key. You can:

Follow industry leaders and blogs.

Join Data Analytics Coaching Centre in Uttam Nagar for advanced training.

Participate in webinars, hackathons, and networking events.

A data analytics training institute in Yamuna Vihar provides mentorship and updated study materials to keep you ahead.

Final Thoughts

Learning Data Science requires a mix of theoretical knowledge, hands-on practice, and continuous learning. With the right data analytics course online in Yamuna Vihar and industry training, you can build a successful career in this field.

So, if you're ready to take the first step, explore data science and data analytics in Yamuna Vihar or enroll in a data science training program in Uttam Nagar today. Visit us

Suggested Links

Power BI Training

Big Data With Hadoop

MIS Reporting 

[sizzlingcreatorcycle]

Master Data Analytics courses with Takeoff Upskill – Learn Data Analysis Easily

Data Analytics is the process of collecting, organizing, and analyzing data to make better decisions. In today's world, businesses generate a huge amount of data every day. This data, when properly analyzed, helps businesses improve their operations, understand customer behavior, and increase profits. Takeoff Upskill provides training in Data Analytics courses to help individuals and businesses make sense of their data and use it effectively.

At Takeoff Upskill, we focus on teaching the key skills needed for Data Analytics. Our courses cover topics like data collection, data cleaning, data visualization, and data interpretation. We use tools such as Excel, SQL, Python, and Power BI to help learners understand data analysis easily. Whether you are a beginner or someone looking to upgrade your skills, our training programs are designed to meet your needs.

One of the main benefits of learning Data Analytics courses is that it opens up many career opportunities. Companies in various industries, such as healthcare, finance, marketing, and retail, need data analysts to make informed business decisions. With the right training from Takeoff Upskill, you can build a successful career in this field.

[techacademyosizlabs]

From Data to Insights - Future-Proof Your Career with Data Analytics Training

Data Analytics for Career Growth

With businesses increasingly relying on data-driven decision-making, the demand for skilled professionals who can interpret and analyze data is growing. A Data Analytics Course provides the necessary tools, techniques, and knowledge to extract insights from raw data, making you a valuable asset across industries.

Skills You’ll Learn From Our Data Analytics Course

Our structured training program covers essential skills, including:

Data Visualization – Use tools like Tableau and Power BI to create interactive dashboards.

Statistical Analysis – Identify trends and patterns using Python, R, and Excel.

Predictive Analytics – Apply machine learning algorithms to forecast future outcomes.

Business Intelligence – Convert raw data into meaningful business insights.

Data Cleaning & Processing – Handle real-world datasets for effective decision-making.

How to Select the Best Data Analytics Training Program?

When choosing a Data Analytics Course, consider:

Industry-Relevant Curriculum – Ensure it covers modern tools and techniques.

Hands-On Experience – Look for real-world case studies and projects.

Expert-Led Training – Learn from experienced data professionals.

Certification – A recognized certification boosts your career prospects.

Job Placement Support – Assistance in securing top industry roles.

Why Future-Proof Your Career with Data Analytics?

As one of the most sought-after fields, data analytics offers lucrative salaries and diverse career paths. Mastering this skillset enables you to:

Stay competitive in a rapidly evolving job market.

Access global job opportunities.

Increase your earning potential.

Make data-driven strategic decisions.

Career opportunities in Data Analytics

With expertise in data analytics, you can explore roles such as:

Data Analyst – Interpret data to enhance business strategies.

Business Intelligence Analyst – Develop data-driven reports for decision-making.

Data Scientist – Utilize AI & ML to uncover actionable insights.

Market Research Analyst – Study consumer behavior and market trends.

Financial Analyst – Assess financial risks and investment opportunities.

Why Osiz Labs is the Right Choice for Data Analytics Training?

At Osiz Labs, we provide a career-oriented learning experience to help you excel in data analytics. Here’s what makes us stand out:

Expert-Led Training – Learn from industry professionals.

Practical Projects – Gain hands-on experience with real-world data.

Comprehensive Course Structure – Stay updated with the latest industry trends.

Certification & Job Support – Earn industry-recognized credentials and career assistance.

Data analytics training in Madurai can open doors to high-paying opportunities and career growth. Whether you're a beginner or looking to advance your skills, Osiz Labs equips you with the expertise needed to thrive in this dynamic field. Enroll Now in our Data Analytics Course!!

For Free Consultation:

Call - +91 75500 72279

[nipstec-limited2]

5 Reasons to Learn Data Analytics for Career Growth

"Twenty-three percent of an increasing number of data analysts will be required by 2031." From those exacting statistics provided by the Bureau of Labor Statistics, one can see precisely why data analytics is such an indispensable ability these days. Now, all industries tap the power of data for better decisions in less time Knowledge of the essence of data analytics can indeed provide a much-opened door for career development among those belonging to a proper mindset, such as new graduates, career shifters, entrepreneurial hopefuls, and many more. Then, your potential must be realized and action taken to meet the following five points that will change your life in terms of professional prosperity.

1. Sheer demand for Skills in Data Analytics

Rapidly changing the face of today's world, businesses are increasingly relying on data for enhanced competition. Data is being turned into actionable insights by people who are competent in this area, which it essentially needs in all its operations. Sector-wise Starving Essentially know-how for multiple sectors, training is done by projecting data analytics, including but not limited to the following:.

Health and Healthcare: analyze patient records to ensure successful healthcare outcomes.

Finance: Risk management strategies are built and put into operation.

Retail and Marketing: Study customer behavior so that product offerings align with the customer profile.

Technology: Optimizing systems and predicting trends Close companies like Amazon and Netflix see data analytics as their core business because it is owing to customer data that they have personalized services that indeed bring back audiences. The relevance of the skill is now rising high enough that businesses cry for professionals with adeptness in data analytics. Among these are the data-driven job careers as identified in LinkedIn's "Emerging Jobs Report," which always puts Data Scientists and Business Analyst at the summit of the fastest-growing career opportunities.

2. Lucrative Career Opportunities

Data analytics doesn't just offer career growth; it opens the door to competitive salaries and compelling job packages.

For instance: A Data Scientist in the United States earns an average salary of $122,000 per year. Marketing Analysts bring in around $75,000, while skilled business analysts can make $90,000 or more. Not only are these roles rewarding financially, but they also often come with additional perks such as flexibility, promotion opportunities, and the chance to work at the cutting edge of technology. By investing in data analytics, you position yourself to transition into high-paying and in-demand roles while accelerating your career growth.

Pro tip: Adding certifications like Google Data Analytics or Tableau Specialist to your resume can set you apart significantly.

3. Transferable Skills Across Industries

One of the most attractive benefits of learning data analytics is its versatility. This skill transcends industries and gives you the ability to move seamlessly between fields that interest you.

Examples of Real-World Applications:

Retail: Analyze market trends to track customer purchasing behavior and identify top-performing products.

Finance: Deliver accurate forecasting and assess risks using predictive modeling.

Education: Enhance student learning experiences through data-driven personalization strategies. Every sector values professionals who can make sense of complex data sets and provide recommendations grounded in real insights. Mastering this skill doesn’t just ensure you're job-ready today; it equips you to adapt to and thrive in diverse roles tomorrow.

4. A Core Component of Decision-Making

The importance of data-driven decision-making in modern organizations cannot be overstated. Leaders no longer base decisions on intuition; they prioritize insights supported by comprehensive data analysis.

Here’s why:

Better Accuracy: Decisions based on real-time data are less prone to errors.

Strategy Building: Companies like Google, Apple, and Tesla incorporate analytics into every aspect of their operations—whether it’s product development, marketing, supply chain logistics, or customer service.

Competitive Advantage: With analytics, businesses can spot trends, meet customer needs faster, and outperform competitors. By learning the fundamentals, you'll gain an edge, not just as a data professional but also as a thought leader contributing to organizational growth.

5. Accessibility and Learning Opportunities

The good news? Learning data analytics has never been easier or more accessible. Whether you're a career switcher or a college student exploring future opportunities, there’s an option for everyone.

Where to Start?

Beginner-Friendly Tools: Get acquainted with tools like Microsoft Excel, Tableau, and Power BI, perfect for starting your analytics learning path.

Advanced Skills: Move on to more advanced topics like Python programming, SQL, and machine learning for deeper analysis capabilities.

Reputable learning platforms: Courses are available from leaders in the space, including:

Coursera: Offers deep dives into Google Data Analytics or Excel. Udemy: Affordable courses tailored to any niche.

LinkedIn Learning: Provides quick, reliable certifications to boost your resume. Online resources, certifications, and tools make it simpler than ever to start your analytics learning path today and progress steadily toward mastery.

It’s Time to Invest in Your Future

The opportunities created by learning data analytics are vast. From higher salaries to cross-industry versatility and even the ability to shape strategic decisions, this is a skill set that no professional can afford to ignore in the data-driven age. Data analytics isn’t just a career skill—it’s a career springboard. Whether you’re aiming to transition into a tech-focused role, earn a promotion in your current field, or pivot into a whole new industry, mastering analytics opens the door to endless opportunities. Take the first step today. Explore a data analytics course, download free tools, or simply read up further on how analytics shapes our world. Your rewarding career in data is just beginning.

[ajay--sharma]

Are you considering a career in data analytics? At Analytics Shiksha, you can find flexible learning paths that cater to various schedules. Whether you’re a beginner or looking to enhance your skills, the data analyst course duration is designed to suit your pace. With options for both short-term and extensive programs, you can learn at your own speed while getting hands-on experience with real-life industry projects. Start your journey to becoming a skilled data analyst today at Analytics Shiksha!

[cacmsinsitute]

Quantifying Customer Insights: How Data Analytics Improves Customer Relationship Management

In today's highly competitive market, understanding the customer is critical to corporate success. As digital transformation accelerates, organizations must capture, analyze, and use customer data more efficiently in order to develop stronger relationships and provide personalized experiences. Data analytics has evolved as a key tool in Customer Relationship Management (CRM), allowing firms to gain actionable insights, improve customer engagement, and increase loyalty. This article discusses the role of data analytics in CRM and how firms may use data-driven insights to improve customer relationships.,

The Rising Importance of Data-Driven CRM

Customer Relationship Management is more than just collecting contact information; it is about making and maintaining real connections based on an understanding of the customer's needs, preferences, and behaviors. However, the volume and complexity of data provided by customers—via interactions on social media, websites, emails, and other channels—makes it difficult to properly synthesize and exploit this information. Data analytics provides a solution by converting raw data into structured insights that reveal the customer's journey and wants, allowing organizations to customize their interactions accordingly.

As Gartner has shown, firms who use CRM effectively see considerable increases in customer satisfaction, retention, and revenue growth. Data analytics is critical for organizations to fully leverage the power of CRM by interpreting the unique insights hidden inside large data repositories.

Key Ways Data Analytics Improves CRM Customer Segmentation

Businesses can use data analytics to segment their customers based on demographics, purchasing behavior, preferences, and other criteria. By analyzing these categories, businesses may adjust their strategy to each group, ensuring that the correct message reaches the right people. This segmentation is especially useful in marketing initiatives, because understanding certain client groups allows for personalized messages and higher engagement rates.

Predictive Analytics for Proactive Engagement

Predictive analytics allows businesses to anticipate client behavior and needs based on past information. For example, analyzing previous purchase patterns enables firms to estimate when a consumer will need to restock specific products or upgrade to a new service. This proactive engagement strategy exhibits attentiveness and relevancy, two critical elements that influence client loyalty.

Enhanced Customer Support with Data-Driven Insights

Data analytics also helps customer service teams by providing information about client preferences, previous encounters, and support history. With this expertise, customer care workers may provide more educated support, lowering response times and increasing customer satisfaction. Furthermore, advanced analytics can assist uncover recurring customer difficulties, allowing the company to address systemic issues and improve the overall customer experience.

Personalized customer experiences

Today's clients want personalisation in all interactions. Businesses can provide personalized experiences to customers by using analytics to identify individual preferences and behaviors. Data-driven CRM enables businesses to deliver customized product recommendations, targeted promotions, and personalized follow-ups, fostering a greater sense of connection and loyalty.

Churn prediction and retention strategies

Identifying consumers that are likely to churn (leave for a rival) is critical to retaining a loyal customer base. Analytics can uncover churn patterns such as decreased engagement or negative comments. Armed with this information, businesses may employ retention methods such as personalized incentives or outreach from customer success teams to keep important clients before they depart.

Real-World Success Stories for Data-Driven CRM

Several firms have successfully used data analytics to revolutionize their CRM strategy. For example, top e-commerce platforms use machine learning algorithms to predict buy preferences and propose appropriate products, resulting in significant gains in conversion rates. Similarly, several telecoms businesses employ analytics to detect high-value customers who are about to move providers and offer them targeted retention incentives, so lowering churn and keeping share.

In the banking industry, data analytics is critical to improving the customer experience by providing personalized financial advice and alerting customers to potential fraudulent actions in real time. These examples demonstrate data-driven CRM's adaptability across industries and its potential to improve customer pleasure and loyalty.

The Function of Emerging Technologies in Data-Driven CRM

The combination of developing technologies such as artificial intelligence (AI) and machine learning (ML) is propelling data-driven CRM to new heights. AI-powered analytics can handle massive volumes of client data in real time and provide insights practically instantly. Machine learning algorithms may constantly learn from fresh consumer data, strengthening predictive models and increasing the accuracy of customer insights. The end result is a more agile CRM system that can provide more precise, timely, and personalized client interactions.

Furthermore, enhanced visualization technologies enable firms to convert complex data into clearly understandable graphs and charts, making it easier for decision-makers to discover critical patterns and take action. This is especially useful for customer service and marketing teams, which rely on precise insights to guide their strategies.

Challenges and Considerations for Implementing Data-Driven CRM

While the benefits of data-driven CRM are apparent, integrating analytics into CRM presents problems. Data quality remains a significant challenge, as fragmented or obsolete data can lead to erroneous conclusions. To overcome this, firms must implement strong data governance procedures and ensure consistent data maintenance. Furthermore, privacy concerns are at the forefront of CRM strategy, particularly with the implementation of data protection rules like GDPR and CCPA. Organizations must prioritize transparency and ethical data practices in order to sustain customer trust.

A commitment to employee training is also critical, as data literacy is required to realize the full potential of data-driven CRM. Ensuring that team members from all departments understand how to analyze and apply data insights leads to a more coherent and effective CRM strategy.

CRM's Future in a Data Driven World

As businesses negotiate a data-rich market, the importance of analytics in CRM will only increase. Future AI breakthroughs, along with an increased emphasis on real-time analytics, will enable businesses to respond to client needs more quickly and precisely than ever before. The capacity to provide hyper-personalized experiences at scale will distinguish market leaders, making data-driven CRM a critical component of effective customer-centric initiatives.

Conclusion

CRM has evolved from a simple customer management tool to a complex, insight-driven method that allows organizations to build deeper, more meaningful relationships with their consumers. Understanding and measuring consumer insights allows businesses to increase engagement, contentment, and loyalty, all of which contribute to long-term business success. As the value of customer data increases, so does the importance of data analytics in CRM, making it an essential tool for forward-thinking businesses.

Investing in data-driven CRM capabilities is more than simply a business decision; it is a commitment to providing consumers with the degree of understanding and support they demand in today's digital age. In this setting, data analytics emerges not only as a tool for improving CRM, but also as a critical component in establishing long-term customer relationships that fuel continued growth.

Ready to turn customer insights into practical strategies? Join CACMS Institute's Data Analytics course in Amritsar and learn how to improve Customer Relationship Management with data-driven insights. Enroll today to begin your journey to becoming an analytics specialist and advancing your career with CACMS!

Contact us at +918288040281 or visit the link below for further details.

[techyseeducation]

Data Analytics Training In Marathahalli

Techyse Education in Marathahalli, Bangalore, offers specialized Data Analytics Training in Marathahalli for individuals looking to build expertise in Python, Power BI, and data analysis techniques. Their industry-aligned courses focus on practical learning through real-world projects, ensuring students gain hands-on experience in data manipulation, visualization, and dashboard creation. Whether you are a beginner or an experienced professional, Techyse’s programs are designed to enhance your skill set, making you job-ready for roles in data analytics.

Comprehensive Data Analytics Training in Marathahalli Techyse Education takes pride in delivering high-quality Data Analytics Training in Marathahalli, backed by experienced instructors with deep industry knowledge. The curriculum covers essential tools and techniques, from data wrangling with Python to creating interactive dashboards using Power BI, ensuring students are prepared to meet industry demands. With personalized mentorship, career support, and placement assistance, Techyse provides a well-rounded learning experience. Whether aiming for career growth or a fresh start in data analytics, Techyse Education equips learners with the skills to excel in a competitive job market.

Techyse Education | Data Analyst, Python, Power BI Training in Marathahalli, Bangalore

18, Krishna Summit, 307, 3rd Floor, Aswath Nagar, Next to Canara Bank, Marathahalli, Bangalore, Karnataka 560037

Phone: 098445 14333 Website : https://techyse.in/

Our Google Map Location is : https://maps.app.goo.gl/dLsBM669nKHTutxu9

Follow us: Facebook : https://www.facebook.com/techyse.education/ Twitter: https://x.com/techyse_edu/ Instagram : https://www.instagram.com/techyeseducation/ LinkedIn : https://www.linkedin.com/company/techyse-education/ Youtube: https://www.youtube.com/@TechyseEducation

[datascienceunicorn]

The Data Scientist Handbook 2024

HT @dataelixir

[raptorstudiesstuff]

Life update -

Hi, sorry for being MIA for a while and I'll try to update here more frequently. Here's a general update of what I've been up to.

Changed my Tumblr name from studywithmeblr to raptorstudiesstuff. Changed my blog name as well. I don't feel comfortable putting my real name on my social media platforms so I'm going by 'Raptor' now.

💻 Finished the Machine Learning-2 and Unsupervised Learning module along with projects. Got a pretty good grade in both of them and my overall grade went up a bit.

📝 Started applying for data science internships and jobs but got rejected from most of the companies I applied to... 😬

I'll start applying again in a week or two with a new resume. Let me know any tips I can use to not get rejected. 😅

💻 Started SQL last week and really enjoying it. I did get a bad grade on an assignment though. Hope I can make up for it in the final quiz. 🤞

🏥 Work has been alright. We're a little less staffed than usual this week but I'm trying not to stress too much about it.

📖 Currently reading Discworld #1 - The Color of Magic. More than halfway through.

📺 Re-watched the Lord of The Rings movies and now I'm compelled to read the books or rewatch the Hobbit movies.

"There's good in this world, Mr Frodo, and it's worth fighting for." This scene had me in tears and I really needed to hear that..

📺 Watched the first 4 episodes of First Kill on Netflix and I don't know what I was doing to myself. The writing and dialogue is so cheesy and terrible. The acting is okay-ish. It's so bad that it turned out to be quite hilarious. Laughed the whole time.

🎧 Discovered a new (for me) song that I'm obsessed with right now - Mirrors by Justin Timberlake.

📷 Took some really cool pics on my camera..

Might start the 100 days productivity challenge soon as that is the only way I find myself to be consistent.

Peace ✌️

Raptor

PS. Please don't repost any of my pictures without permission.

[hackeocafe]

How To Learn Math for Machine Learning FAST (Even With Zero Math Background)

I dropped out of high school and managed to became an Applied Scientist at Amazon by self-learning math (and other ML skills). In this video I'll show you exactly how I did it, sharing the resources and study techniques that worked for me, along with practical advice on what math you actually need (and don't need) to break into machine learning and data science.

[hmfaysal99]

New Business Marketing Tips And Tricks for Success

Starting a new business can be an exciting endeavor, but it also comes with its fair share of challenges, especially in the competitive landscape of today's market. Effective marketing is crucial for the success of any new venture. Here are four essential marketing tips and tricks to help your new business thrive.

Define Your Target Audience: Before diving into marketing efforts, it's essential to identify and understand your target audience. Define your ideal customer persona by considering demographics, interests, pain points, and buying behaviors. Conduct market research to gather valuable insights that will guide your marketing strategies. Tailoring your messages and campaigns to resonate with your target audience will significantly increase your chances of success.

Once you have a clear picture of your audience, choose the most suitable marketing channels to reach them effectively. Social media, email marketing, content marketing, and pay-per-click advertising are just a few options to consider. Your choice of channels should align with where your audience spends their time online.

Create Compelling Content: Content marketing is a powerful tool for new businesses to establish their brand and build credibility. Develop high-quality, informative, and engaging content that addresses the needs and interests of your target audience. This content can take various forms, including blog posts, videos, infographics, and podcasts.

Consistency is key when it comes to content creation. Develop a content calendar to plan and schedule regular updates. Providing valuable content not only helps you connect with your audience but also boosts your search engine rankings, making it easier for potential customers to find you.

Leverage Social Media: Social media platforms have become indispensable for marketing in today's digital age. Create profiles on relevant social media platforms and engage with your audience regularly. Share your content, interact with followers, and participate in industry-related discussions.

Paid advertising on social media can also be a cost-effective way to reach a broader audience. Platforms like Facebook, Instagram, and LinkedIn offer targeting options that allow you to reach users who match your ideal customer profile.

Monitor and Adapt: Marketing is an ever-evolving field, and what works today may not work tomorrow. To stay ahead of the curve, regularly monitor the performance of your marketing efforts. Analyze key metrics such as website traffic, conversion rates, and return on investment (ROI). Use tools like Google Analytics and social media insights to gather data and insights.

Based on your findings, be prepared to adapt your strategies and tactics. If a particular marketing channel isn't delivering the expected results, reallocate your resources to more promising avenues. Stay up-to-date with industry trends and keep an eye on your competitors to ensure your marketing efforts remain relevant and competitive.

In conclusion, effective marketing is essential for the success of any new business. By defining your target audience, creating compelling content, leveraging social media, and continuously monitoring and adapting your strategies, you can position your new business for growth and long-term success in a competitive market. Remember that success may not come overnight, but with persistence and the right marketing approach, your new business can thrive.

[phasesandplaylists]

Hello whomever might read this,

I've been wanting to post on here for a while. With 2025 around the corner, I decided to use Tumblr to track my goals and document my progress. Hopefully, I'll figure out how to relate that with Twitter(X) and whatever platform helps one land a job these days.

Basic info:

I'm a writer.

My name's Chisom and I'm 25 years (26 next year). I'm Nigerian and a University graduate with a BSc in Computer Science/Statistics. I live in Nigeria.

Other tidbits:

I listen to basically any type of music, but Pop is my main genre.

Fandoms I belong to: Directioner, Nctzen, Potterhead, etc.

I'm currently studying Data Analysis with every intention to land a job in the field next year. Most of my posts will be in regards to studying.

Languages spoken: English, Hausa, Igbo, Spanish (intermediate)

Currently studying: Korean, Swahili, Chinese. Korean takes priority currently.

Song I currently have on repeat:

Nice to meet you♥️

[haveyouheardthisband]

how’d you get into data aggregation and visualization? & what do you use for plotting? I’m an R ggplot enjoyer so I’m curious

i guess i really got into it when i found this site that generates webs of similar artists based on Spotify shared listenerbase data and the associated Gephi software but thats the most advanced i get. its just gephi and google sheets for me i dont even know any R yet

[hrtzbeat]

damn. getting a request is actually making me speed through this report

[bubblegumpopdefiance]

So, Numb3rs is on Prime. Remember that show? Apparently Ridley Scott was one of the producers.

It’s fun but for a 20 year old show it’s incredible how pertinent it is to today’s issues of big data and machine learning.

Give it a watch!