Tech

The Data Science Process: 7 Key Steps in Analytics Application

Published

3 years ago

November 26, 2021

sylvia J

Suppose you are a business and you want to update your products. How would you know what to invest in and what the general market trends and demands are? This is where business analytics comes in. Business analytics, simply put, is a process of identifying trends and patterns through collected data to produce conclusions through interpretation and analysis.

It allows companies to use statistics and previous data interpretation to develop solutions for business activities and can be categorized into different types. The first two types—descriptive analytics and diagnostic analytics—deal with identification and discussion of the present: current market or problems. Predictive analytics or prescriptive analytics on the other hand produce more future-based results. They either predict the future trends or suggest pathways for companies for the future. The applications of business analytics are diverse; they can be used anywhere from stock marketing to customer relationship management.

While previously done manually, the new age of expansion and advancement has allowed the field of business analytics to evolve. Multiple new programming languages and processes including data science are now being used to improve efficiency. This advancing complexity is why companies often require specialists for business analytics.

Many ambitious data scientists and business analysts seek masters in business analytics jobs. They learn the art of business analytics and database building using data science. Business analytics relies on data science, but how does it work? What happens at the backend? How does some random unlinked data is used to contribute to the business growth?

According to this Data Scientist Course tutorial, Data science is a multistep process, and each step helps in applying analytics for the real-life performance enhancement of business models. Let’s place the process under the light and discuss it in detail to answer the questions mentioned above.

Understand the Goal

Data science is all about identifying the problems before solving them. Do you want to work on making more personalized recommendations for the consumers? Or do you want to cut down redundancies in your customer service process? The questions generated will help you understand the type of data you need to refine. The data required for customer interaction will be different from when you analyze the new product your company might be considering launching. Framing the question will help you have a streamlined approach for the next process.

Collect Required Data

Data exists on various platforms. The ocean of data needs fishing the required information out. Collecting data is like collecting ingredients for a recipe. You can’t make sweet baked results if you have no sugar in the form of data. Retrieving data requires knowledge and strong command of various technical tools, programs, and programming languages. You may need to search for data using web scraping. Another way is to use Web APIs and collect data through Facebook or Twitter. Moreover, you might have to directly obtain data from CSV (Comma Separated Value) files or TSV (Tab Separated Values) files. However, using the last option requires an understanding of the special Parser format.

Clean and Explore Data

Essentially this process requires converting your data into a useable format. If the data previously existed in states which could not work with programming languages such as Python, you will need to apply SQL on it. During this step, you will be filtering data out; after that comes the extraction and replacing of values. If you come across a non-value, you would need to replace it to complete your file. Cleaning your data is a literal process. You are extracting and saving the information you actually need while scrapping the rest. The end product should be homogenous data with complete columns.

When exploring data, you will also make questions to reach your main goal to develop insights.

Cleaning and exploring data are the longest processes of the data science journey. Collectively, they often consume 80% of the time of the project.

Modeling and Developing Your Database

Here, you will be mixing and merging multiple databases and then enriching them by combining multiple data sources and logs by considering the essential features. The feature of interest is often time-based, such as keeping track of date differences and highlighting any national holidays or festivals. Other features could include “name,” “age,” and “gender”. These features help identify the characteristics of the database and help in the machine learning process.

This process also uses modeling to use categorization within the same domain. For example, a distinction between inbox and spam could be made within the feature of received emails. For modeling purposes, a categorization of social and promotion can also be generated when studying a database related to emails.

While the data produced, collected, and manipulated represents the real world, it is essential to reduce the chances of biased interpretation. A data scientist or a business analyst has to keep a check to account for and interpret the machine learning model’s decisions.

Generate Visuals

Data visualization helps understand the trends easily. It highlights the information collected, and graphs enrich your database making it more communicable. You can understand your data in a better way before diving into the in-depth analysis. Not to mention, your boss could demand more transparency, and the visuals can help them understand the process better.

Analyze and Interpret Data

Now we are at the heart of the data science project. In this step, machine learning algorithms are deployed to produce insights that cannot be distinguished otherwise. Usually, unsupervised algorithms are used to derive trends by clustering groups of data—which often have decisive features —that show subtle trends. The analyzing part of the data science project is most commonly used to produce actionable insights. These trends are then used to actualize the predictive insights by the data scientists themselves. In advanced data science projects, supervised algorithms are put into action to produce future trends. In some cases, depending on the main goal set in step one, the predictive insights are replaced with prescriptive insights to prevent any negative results.

Communicate Your Findings

This step is mostly the displaying part, showcasing your findings to the stakeholders. While it is not a process of data science and analytics, it is the most important soft skill that allows your data science project to be put into use. The results are only effective if they are communicated efficiently: leaving an impact.

In the nutshell

Data science allows businesses to accelerate their growth against the competition by improving their business model. Since it is a complex process and requires multiple skills, a strong education background, such as a master’s in the concerned field, ensures high-quality application. The process involves retrieving data from online or shared databases and then trimming and cleaning the available information. The data is merged and formatted to gain some understanding of trends. These identified trends help narrow down and answer the questions that help a business achieve its objectives.

Tech

Choosing the Right 100W Solar Panel for Your Energy Needs

Published

3 days ago

February 18, 2025

sylvia J

Choosing the Right 100W Solar Panel for Your Energy Needs

Solar energy continues to revolutionize the way people power their homes, vehicles, and outdoor adventures. A 100-watt solar panel is an excellent choice for those looking for a compact, lightweight, and efficient energy solution. Whether you need a panel for an RV, boat, cabin, or backup power, selecting the right type ensures you get the best performance.

Understanding 100-Watt Solar Panels

A BougeRV 100W solar panel is designed to generate electricity by converting sunlight into usable power. These panels are popular due to their portability and versatility, making them ideal for small energy needs. They can be used to charge batteries, power small appliances, and supplement existing solar setups.

Two main types of 100W solar panels are available:

Flexible solar panels– Designed to bend slightly, making them suitable for curved or uneven surfaces. These are perfect for boats, RVs, and campers.
Rigid solar panels– Built with a sturdy aluminum frame and glass covering, these panels are highly durable and work well in fixed installations.

Key Benefits of a 100W Solar Panel

1. Portability and Lightweight Design

A 100W solar panel is compact and easy to carry, making it perfect for outdoor activities like camping, hiking, and road trips. The 100W flexible solar panel is particularly useful for installations where weight and space are a concern.

2. Off-Grid Power Independence

With a 100W panel, you can generate electricity anywhere there is sunlight. This makes it a great choice for people living in remote areas or traveling off the grid. It can be used to charge 12V battery systems and run small devices without relying on traditional power sources.

3. Eco-Friendly Energy Solution

Solar panels provide a clean and renewable energy source, reducing reliance on fossil fuels and lowering carbon footprints. A single 100W solar panel can help cut energy costs while contributing to environmental sustainability.

4. Cost-Effective Energy Option

Although the upfront cost of solar panels may seem high, they provide long-term savings by reducing electricity bills. Investing in a 100W solar panel ensures you have a reliable power source with minimal maintenance costs.

Choosing the Best 100W Solar Panel

When selecting a 100W solar panel, consider the following factors:

1. Efficiency and Power Output

Higher efficiency panels generate more power in low-light conditions. The Topcon 16BB 100W solar panel is an example of a high-efficiency panel designed for maximum energy conversion.

2. Flexibility and Installation Needs

If you need a panel for a curved or irregular surface, a flexible option like the 100W flexible solar panel is the best choice. These panels can be mounted on boats, vans, and other non-flat surfaces.

3. Durability and Weather Resistance

Ensure the panel is built to withstand harsh weather conditions, including rain, wind, and snow. Panels with waterproof and corrosion-resistant materials will last longer and perform better over time.

4. Compatibility with Solar Systems

Check whether the panel is compatible with your existing battery system and charge controller. Most 100W panels work well with 12V battery setups, but it’s important to verify before purchasing.

How Much Power Can a 100W Solar Panel Generate?

A 100-watt solar panel can produce around 300 to 600 watt-hours per day, depending on sunlight conditions. This is enough to:

Charge small electronics like phones, tablets, and laptops
Power LED lights for extended periods
Keep a small 12V fridge running
Support a backup power system for emergencies

To store energy for use at night or on cloudy days, pairing the panel with a battery and charge controller is recommended.

Conclusion

A 100W solar panel is a practical and efficient choice for those looking to harness solar power for small-scale applications. Whether you opt for a flexible panel for curved surfaces or a rigid panel for fixed installations, investing in a high-quality solar panel ensures reliable energy production for years to come.

By selecting the right panel and optimizing its use, you can enjoy clean, sustainable energy while reducing dependence on traditional power sources.

Tech

Unlock the Future: Master Artificial Intelligence with Great Learning’s Comprehensive AI Course

Published

7 months ago

August 4, 2024

sylvia J

Master Artificial Intelligence with Great Learning’s Comprehensive AI Course

It is vital that workers learn these skills as AI, generative AI and machine learning continue to advance.

The rise of artificial-intelligence-based technologies (AI) is unquestionable today, as is their potential to disrupt various types of work, including language processing, pattern recognition, problem solving, and even decisions.

ChatGPT, for example, represents a completely new field of technology. This includes generative AI, a subset artificial intelligence that is focused on creating original music, images, and text by learning from previous examples. Generative AI, instead of copying or recognising predefined patterns based upon rules, uses complex algorithms based often on neural networks to create original content.

These developments have been made possible by the huge advances in machine learning, a branch of AI which involves teaching computers how to learn using data. Data collection, model-training, learning from data, examining model output, and adjusting parameters are all part of this process. The development of neural networks, a type of computational training model inspired by the brain, has been made possible through machine learning. These models are built from interconnected virtual “neurons” that are organized into “layers” to process data. This system allows a model to be taught how to balance different parameters in order to recognise patterns and learn them, as well as make predictions and complete tasks. Deep learning is another name for this subset of machine-learning.

Deep learning focuses on training artificial neural networks with multiple layers to represent complex data. The term ‘deep’ refers to the depth of the neural network, meaning the many layers of inputs or outputs. This system has been highly successful in solving tasks like image recognition (recognising images/faces/patterns), natural language processing (ChatGPT-like models which can understand and generate human-like responses, most often used to power chatbots) and speech recognition (used for voice assistants or transcribing speech to text) among others.

It is important that we start to learn about these new technologies, given the potential disruption AI will bring to our world. Many people think that you have to be a software or computer engineer to grasp these concepts. However, anyone can do so regardless of their educational background.

Here are four online certificate programmes that can be accessed for free by leading industry players like Microsoft, Google and Infosys. They can all be accessed for free online

GUVI AI for India 2.0 program

The Government of India launched AI for India 2.0 – a free online course that focuses on AI. Skill India has developed the course in collaboration with GUVI. The program has also been accredited by IIT Madras and the National Council for Vocational Education and Training.

This is a virtual one-day event for the development of tech skills in collaboration with the Ministry of Skill Development & Entrepreneurship. It will be held on 15th August. As part of their preparation, participants will have free access to LEVI’s premium course from July 15th.

GUVI is a personalized learning company founded by IIT Madras, IIM Ahmedabad. It offers online learning and upskilling opportunities for learners. GUVI offers these courses in a variety of regional languages.

Infosys AI certification courses

Infosys launched a free AI Certification Training Program to help users develop new skills. The Infosys Springboard platform offers a free AI course.

The platform offers several other certifications courses on AI-related topics. These courses are designed to be introductory and cover AI, generative AI and deep learning. The platform offers master classes in AI and generative AI.

Infosys Springboard, a virtual learning platform, offers curriculum-rich experiences. Candidates can access corporate-grade training online, from any device. The platform is a part of Infosys CSR commitment, which aims to empower 10,000,000+ people with digital skills by 2025. It caters to all learners, from class 6 up to lifelong learners.

Microsoft’s course on generative AI

Microsoft has created a new AI skills programme to assist people in learning this subject. This initiative is part Microsoft’s Skills for Jobs program, which includes free coursework created with LinkedIn.

The new course teaches AI frameworks, introductory concepts and provides a certificate of completion. Microsoft believes AI will disrupt the workplace and that this course helps people to improve their AI skills..

Google Cloud AI courses

AI and machine-learning careers are in high demand at the moment. This is especially true when it comes to Google Cloud. The potential applications of generative AI are vast, including in the fields of information technology and branding. Machine learning is a powerful tool that can be used to help workers understand data, create models, and create interactive functions. These skills will become essential in the future for data scientists, machine learning engineers, and data engineers.

Great Learning’s Digital Marketing Course

Great Learning offers an in-depth AI course designed for both beginners and professionals who seek to master artificial intelligence. This course covers essential AI concepts like machine learning, deep learning and natural language processing as well as more advanced topics like computer vision and AI ethics. Taught by industry professionals, this course features video lectures, hands-on projects, and real-world case studies to hone practical skills. Convenient and flexible to fit into busy schedules, it is accessible even for working professionals. One can also enroll in a power bi course to complement this course. Participants who successfully complete this course earn an AI certification that can significantly advance their careers – along with additional career support and networking opportunities – offering a complete pathway towards AI success.

Tech

5 ways that PopAI helps impress your boss?

Published

8 months ago

June 24, 2024

sylvia J

5 ways that PopAI helps impress your boss?

Impressing your boss with your work is a difficult task to do. You may be a hard or smart worker, but a boss can find flaws in you. Yes, it can be stressful sometimes because you give 100% to the work.

Especially in presentation tasks, your boss may need more creativity.

But I have a solution for you! You don’t need to spend hours making large presentations.

Interesting?

You can do this with the help of PopAI, And I will explain in detail how PopAI helps impress your boss and excel in your workspace. Here are 5 ways that PopAI can set you apart from others.

1. Increase in efficiency and productivity

One of the primary benefits of using this AI is that it increases the efficiency and productivity of employees. With the help of this tool, employees work faster with great results. It allows you more time to focus on strategic decisions and creativity, rather than doing repetitive tasks.

It can handle appointment scheduling, generate reports, and e-mail filtering. With this facility, your creativity and time on the strategic part will be noticed by your boss and he will be impressed by your enhancement in productivity.

2. Data-Driven decision making

AI tool is best at transforming complex data into meaningful data that is easy to understand in the form of graphics, charts, etc. Problems can be identified very fast through insights, whereas it is quite difficult to achieve this through manual analysis. So just imagine, providing data-driven analysis to your boss and giving solutions to the same will do wonders for your reputation in front of your boss.

3. Improved customer service

It facilitates improving customer service. With AI-driven chatbots, it can help you provide prompt and reliable responses to customers. These tools can operate 24/7, which means it is available after business hours. With this approach, customer satisfaction will be increased and following this business will also get a good name in the market.

4. Helps in making business presentations

Time is limited, but work in the company sometimes gives stress to the employees, especially when the boss gives a task of making a presentation at short notice. It will be more difficult when you are not good at colour combination and creating graphics.

So here It comes into the picture, with its Ai for presentation tool, you can make as many presentations as you want in minutes. You just have to enter a topic, select the audience tone, and select the pages and language. With its AI-driven tool, it will suggest colour combinations, and layouts and make your presentation engaging through wonderful visuals in the form of charts and graphs.

5. Collaboration and communication

This AI tool has a wonderful feature that organizes tasks, sets deadlines, and monitors progress. It becomes very handy during office meetings, when you can communicate with your team, that this particular project needs data. With this, the performance can also be tracked and what needs to be done.

Effective communication leads to better results and it can give you value in the company and helps you in gaining skills related to leadership and team player skills. There is a high possibility that with this effective approach, you will achieve positive results for your company.

Conclusion

Having PopAi is like an asset not only does it contribute to individual growth but also it gives wings to the overall success of the company. It possesses a multi-tasking feature that not only fastens the work but also gives you more creative options in using this wonderful tool.

So as a professional, if you want to win the competition, then you need to adopt this kind of tool which increases your productivity as well as improves your leadership skills.