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©How fresher can get a job as a data scientist?©

Job market is highly resistant to hire data scientist as a fresher. Everyone out there asks for at least 2 years of experience, but then the question is where will we get the two years experience from?

The important thing here to build a portfolio. As you are a fresher I would assume you had learnt data science through online courses. They only teach you the basics, the analytical skills required to clean the data and apply machine learning algorithms to them comes only from practice.

Do some real-world data science projects, participate in Kaggle competition. kaggle provides data sets for practice as well. Whatever projects you do, create a GitHub repository for it. Place all your projects there so when a recruiter is looking at your profile they know you have hands-on practice and do know the basics. This will take you a long way.

All the major data science jobs for freshers will only be available through off-campus interviews.

Some companies that hires data scientists are:
Siemens
Accenture
IBM
Cerner

Creating a technical portfolio will showcase the knowledge you have already gained and that is essential while you got out there as a fresher and try to find a data scientist job.

Some useful PYTHON libraries for data science

NumPy stands for Numerical Python. The most powerful feature of NumPy is n-dimensional array. This library also contains basic linear algebra functions, Fourier transforms,  advanced random number capabilities and tools for integration with other low level languages like Fortran, C and C++

SciPy stands for Scientific Python. SciPy is built on NumPy. It is one of the most useful library for variety of high level science and engineering modules like discrete Fourier transform, Linear Algebra, Optimization and Sparse matrices.

Matplotlib for plotting vast variety of graphs, starting from histograms to line plots to heat plots.. You can use Pylab feature in ipython notebook (ipython notebook –pylab = inline) to use these plotting features inline. If you ignore the inline option, then pylab converts ipython environment to an environment, very similar to Matlab. You can also use Latex commands to add math to your plot.

Pandas for structured data operations and manipulations. It is extensively used for data munging and preparation. Pandas were added relatively recently to Python and have been instrumental in boosting Python’s usage in data scientist community.

Scikit Learn for machine learning. Built on NumPy, SciPy and matplotlib, this library contains a lot of efficient tools for machine learning and statistical modeling including classification, regression, clustering and dimensionality reduction.

Statsmodels for statistical modeling. Statsmodels is a Python module that allows users to explore data, estimate statistical models, and perform statistical tests. An extensive list of descriptive statistics, statistical tests, plotting functions, and result statistics are available for different types of data and each estimator.

Seaborn for statistical data visualization. Seaborn is a library for making attractive and informative statistical graphics in Python. It is based on matplotlib. Seaborn aims to make visualization a central part of exploring and understanding data.

Bokeh for creating interactive plots, dashboards and data applications on modern web-browsers. It empowers the user to generate elegant and concise graphics in the style of D3.js. Moreover, it has the capability of high-performance interactivity over very large or streaming datasets.

Blaze for extending the capability of Numpy and Pandas to distributed and streaming datasets. It can be used to access data from a multitude of sources including Bcolz, MongoDB, SQLAlchemy, Apache Spark, PyTables, etc. Together with Bokeh, Blaze can act as a very powerful tool for creating effective visualizations and dashboards on huge chunks of data.

Scrapy for web crawling. It is a very useful framework for getting specific patterns of data. It has the capability to start at a website home url and then dig through web-pages within the website to gather information.

SymPy for symbolic computation. It has wide-ranging capabilities from basic symbolic arithmetic to calculus, algebra, discrete mathematics and quantum physics. Another useful feature is the capability of formatting the result of the computations as LaTeX code.

Requests for accessing the web. It works similar to the the standard python library urllib2 but is much easier to code. You will find subtle differences with urllib2 but for beginners, Requests might be more convenient.

Additional libraries, you might need:

os for Operating system and file operations

networkx and igraph for graph based data manipulations

regular expressions for finding patterns in text data

BeautifulSoup for scrapping web. It is inferior to Scrapy as it will extract information from just a single webpage in a run.

Starting a business at a young age: worth it or not

Starting a business is no easy feat, and doing it at a young age can be even more challenging. But for those who are up for the task, the rewards can be significant.

In this post, we'll examine the benefits and challenges of starting a business at a young age, and provide some advice to help you succeed.

🤩 Benefits:

More time to learn. Getting started young provides the opportunity to learn from mistakes and gain experience while you still have time to recover. Such entrepreneurs have more time to take risks and experiment with their ideas, without the same level of financial and personal obligations that come later in life.

Developing valuable skills. Running a business can teach valuable skills such as leadership, communication, time management, and problem-solving. Young entrepreneurs have the chance to develop these skills and apply them in their future careers.

Building networks. An early start means you have more time to build relationships and networks that can help you in your future projects. Young founders can use their early years in business to network, meet mentors, and form partnerships that can last a lifetime.

🫠 Challenges:

Lack of experience. Starting a business requires a level of experience that young entrepreneurs may not have yet. Without the right skills and knowledge, it can be challenging to successfully launch and grow a company.

Financial constraints. Getting your business off the ground takes investment and financing. Young entrepreneurs may find it challenging to secure the necessary funding for their businesses, especially if they lack collateral or credit history.

Balancing work and education. Starting a business needs a lot of time and effort, which can be challenging to balance with education and other responsibilities. Young entrepreneurs must find ways to manage their time effectively and prioritize their tasks.

In conclusion, it's not just about making money, but about following passions, taking risks, and learning valuable lessons along the way. Young entrepreneurs do face many obstacles, but they also gain much by having a fresh perspective, being open to new ideas, and having the energy to tackle any challenge that comes their way.

Whether you're already on the path to becoming a young entrepreneur or just exploring the idea, remember to stay focused, be persistent, and never give up on your dreams. With hard work, determination, and a bit of luck, the sky's the limit.

How to boost restaurant sales: 11 proven tactics

Running a restaurant business is tough, especially in a competitive market. While great food is important, it takes more than that to attract new customers, retain loyal ones, and make great profits.

That's why we've compiled a list of 11 tips to help you drive sales and create an exceptional dining experience for your customers. They will help you stand out from the competition and take your restaurant business to the next level.

🍕 Improve your customer service. Ensure that your staff is well-trained and equipped to handle customer complaints or issues. Encourage them to be personable and engaging. Consider offering a feedback mechanism on your website or in-store to get customer feedback.

🍕 Optimize your menu. Analyze which menu items are selling well and which are not. Consider removing the low-performing items or modifying them to make them more attractive to customers.

🍕 Upsell strategically. Train your staff to suggest add-ons, upgrades, or complementary items that pair well with the customer's order. For example, suggesting a side dish, dessert or beverage to complement the main dish.

🍕 Enhance your online presence. Make sure your website and social media accounts are up-to-date with accurate information about your restaurant, such as hours of operation, location, menu, and specials. Add it to online maps and review platforms like Yelp.

🍕 Offer online ordering and delivery. Make it easy for customers to order from your restaurant online and have their food delivered to their door. Utilize popular food delivery apps and services to expand your reach.

🍕 Host events and collaborations. Host special activities with other businesses to attract more customers. For example, you could offer live music or partner with a local brewery to offer a beer-pairing menu.

🍕 Offer specials and promotions. Create daily or weekly specials that are only available for a limited time. You can also offer discounts for customers who refer a friend or sign up for your loyalty program.

🍕 Implement a loyalty program. Create a loyalty program to reward customers for their repeat business. For example, you could offer a free item or discount after a certain number of visits or purchases.

🍕 Utilize local advertising. Advertise your restaurant locally through channels such as radio, print, or online ads. Target your advertising efforts to customers in your local area to increase visibility.

🍕 Offer catering services. Consider providing catering to local businesses, events, or parties. This can be a great way to generate additional revenue and reach new customers.

🍕 Maintain a clean and inviting environment. Ensure that your restaurant is clean and inviting to customers. This includes keeping the floors and tables clean, ensuring the lighting is adequate, and playing appropriate music to create a welcoming atmosphere.

How to build an email list for your business: 7 easy-to-implement tips

Unlike other channels, email marketing allows you to communicate directly with your audience without worrying about algorithms or other barriers. It also allows you to target your messages to specific segments of your audience, ensuring that your messages are relevant and timely.

Building an email list is a must if you're looking to promote your business, build brand awareness, and engage with your customers in a meaningful way. Stay tuned for some tips on how to get started and build your own email list.

💌 Offer a lead magnet. Create a valuable resource, such as an e-book or white paper, and offer it for free in exchange for someone's email address. Make sure your lead magnet is relevant to your target audience and provides value.

💌 Optimize your website. Make it easy for visitors to sign up for your email list by placing a prominent opt-in form on your website. Be sure to include a clear call-to-action and a compelling reason to sign up.

💌 Host a giveaway. Encourage people to sign up for your email list by offering a prize or giveaway. This can be a great way to attract new subscribers and generate buzz around your business.

💌 Use social media. Promote your email list on your social media channels and encourage your followers to sign up. Share your lead magnet and other exclusive content to entice people to join.

💌 Attend events. Collect email addresses at trade shows, conferences, and other events. You can offer a prize or giveaway as an incentive for people to sign up.

💌 Leverage paid advertising. Use paid advertising to target potential subscribers and drive traffic to your opt-in form. Be sure to include a clear and compelling offer in your ad copy.

💌 Partner with other businesses. Collaborate with other businesses in your industry to cross-promote each other's email lists. This can be a great way to expand your reach and attract new subscribers.

❓ Do you use email newsletters? How did you build your email list?

Why is influencer marketing especially important in niche industries

Influencer marketing has become a popular way for businesses to promote their products or services. While it is commonly associated with mainstream industries like fast food or retail, it is a much more effective strategy for niche industries such as pet accessories or vegan products.

Here are some benefits of using influencer marketing in niche industries:

🙋‍♀️ Targeted audience. Influencers in niche industries have a dedicated following of people who are interested in that particular niche. By partnering with them, you can reach a highly engaged and relevant audience that is more likely to convert into customers.

🙋‍♀️ Authenticity. Such influencers are often highly passionate about their niche and have built a loyal following by sharing their expertise and experience. This authenticity can be extremely valuable for businesses looking to build trust with their audience.

🙋‍♀️ Cost-effective. Niche influencers typically have smaller followings than mainstream influencers, which means they may charge less for their services. Additionally, since niche influencers are highly targeted, you can reach your desired audience with fewer influencers, which can further reduce costs.

🙋‍♀️ Creative content. They often have a unique perspective on their niche and can create highly engaging and creative content. In such a partnership, you can tap into their creativity and use their unique perspective to create compelling content that resonates with your audience.

🙋‍♀️ Long-term relationships. Because niche influencers often have a smaller following, they may be more willing to establish long-term partnerships with businesses. It can be highly beneficial for both parties, leading to increased brand loyalty and continued growth for the business.

The truth is, influencer marketing is not a one-size-fits-all solution and each industry and business will have its own unique set of challenges and opportunities. By taking a thoughtful and strategic approach to it, businesses can harness the power of influencers to engage their audience and achieve their marketing goals.

How to enter into Data Science

👉Start with the basics: Learn programming languages like Python and R to master data analysis and machine learning techniques. Familiarize yourself with tools such as TensorFlow, sci-kit-learn, and Tableau to build a strong foundation.

👉Choose your target field: From healthcare to finance, marketing, and more, data scientists play a pivotal role in extracting valuable insights from data. You should choose which field you want to become a data scientist in and start learning more about it.

👉Build a portfolio: Start building small projects and add them to your portfolio. This will help you build credibility and showcase your skills.