#Data Visualisation With Tableau

[estbenas]

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[zora28]

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[cavillionlearning]

Industry-Leading Visualization with Tableau Data Visualization

1. User-Friendly Interface: The intuitive design allows anyone to easily start visualizing data.

2. Seamless Integration: Connects easily with various data sources for efficient analysis.

3. Quick Insights: Generate actionable insights within minutes.

4. Integrated Collaboration Tools: Share dashboards and insights with your team effortlessly.

5. Regular Updates: Tableau continuously evolves with new features and improvements.

Want to take your skills to the next level? Join our 1-day Tableau Bootcamp on 2nd November (Online)!

[techsoulculture]

Using Tableau for Data Visualisation - A Guide 2023

Data visualization is a powerful tool that enables us to visually depict complex data, making it easier to grasp and interpret Tableau

[mplus-weekly]

Dragonflight Season 2 Week 16

At this point in the season, the team meta is largely fixed. That is, m+ teams are largely made of the same player specs and are unlikely to change. So, instead of exploring on the distribution of player specializations this week, I wanted to try a KPI-style dashboard for the different dungeons, comparing the top 4000 dungeons run from week 15 to week 16.

This design choice is largely inspired by the numerous KPI dashboards I have seen on LinkedIn over the past week. Further, KPI dashboards are some of the most staple dashboards in data analytics, so what better place to start?

The style of this dashboard aims to be simple and minimalistic, featuring only numbers comparisons between the number of dungeons run. The area chart represents the number of dungeons in week 15, and the line chart represents week 16. A more detailed comparison is made at the bottom of the dashboard for each dungeon, and the percent change compared to the previous week.

We see that The Vortex Pinnacle (VP), which is a very unpopular dungeon, is even more unpopular during Fortified week. This is expected, since the Fortified affix buffs trash mobs, and the trash mobs in VP are already notoriously hard and difficult to gather.

Another interesting trend is the decrease in popularity of The Underrot, which has many trash mobs that require kicks and stops. Mistakes on Underrot trash mobs can therefore snowball into a full team wipe very quickly. Dungeons with more difficult trash can be correlated with a decrease in popularity on Fortified weeks.

Other than the dungeons mentioned above, dungeons are generally more popular during Fortified weeks compared to Tyrannical weeks.

I am quite happy with how this dashboard turned out. If I had to remake this, I would probably use a bar chart with bars for each individual dungeon for the main chart. A bar chart can summarize more information and would reduce the sheer amount of unused space of the area chart. I would also like to include filters for player class and spec.

[yourdreamilymassivebouquetthings]

Hi Friends,

Tableau is a trending BI tool in current job market which allows us to convert data into pictorial representation. To know more about it, please check out this tutorial. It helps you to understand what Tableau is , how and where it can be used. How easy it is to plug in and use this tool for your analysis and get business insights in few minutes.

Don't forget to like , share and subscribe. Thanks for watching. Have a nice day :)

[tyrannosaurus-maxy]

Heyy :) I love your ao3 f1 data analysis <3 I was wondering what kind of programs/languages you use for the data scraping, analysis and visualization?

Thank you! I used ParseHub to do the data scrapping, and visualisation on Flourish. I usually would use Tableau but it's on my work computer and no way am I uploading this dataset onto it 😭

[excelr-solutions-pune]

Top Data Science Skills Employers Look for in 2024

The field of data science continues to dominate the job market in 2024, with organisations across industries actively seeking skilled professionals who can extract actionable insights from data. However, with an increasing number of candidates entering the field, standing out requires more than just a degree or certification. Employers keep a lookout for specific skills that signify a data scientist’s ability to deliver results. Whether you're a budding data scientist or looking to upgrade your expertise, enrolling in a data science course can be a game-changer. If you're located in Maharashtra, data science courses in Pune are an excellent option for getting started.

Here’s a comprehensive guide to the top data science skills employers are prioritising in 2024:

1. Proficiency in Programming Languages

Data scientists must possess strong programming skills to work efficiently with data. The two most sought-after languages are Python and R, known for their extensive libraries and frameworks designed for data manipulation, statistical analysis, and machine learning. Employers value candidates who can write clean, optimised code for tasks ranging from data preprocessing to deploying machine learning models.

If you're just starting out, look for data science courses that provide hands-on training in these languages. For instance, courses in Pune offer extensive programming modules tailored to industry requirements.

2. Strong Foundations in Statistics and Mathematics

Understanding statistical methods and mathematical concepts is the backbone of data science. Employers expect candidates to be proficient in areas such as:

Probability distributions

Hypothesis testing

Linear algebra

Optimisation techniques

These skills enable data scientists to interpret data accurately and develop reliable predictive models. A good data science course in Pune often includes in-depth modules on these concepts, ensuring you build a solid foundation.

3. Data Wrangling and Cleaning

Raw data is rarely clean or structured. Companies need professionals who can preprocess data effectively to make it usable. Skills in data wrangling—including dealing with missing values, outliers, and inconsistent formats—are critical.

Tools like Pandas and NumPy in Python are essential for this task. If you're looking to master these tools, enrolling in comprehensive data science courses can help you gain the expertise required to handle messy datasets.

4. Expertise in Machine Learning Algorithms

Machine learning (ML) remains at the heart of data science. Employers look for candidates familiar with both supervised and unsupervised learning algorithms, such as:

Regression models

Decision trees

Random forests

Clustering methods

Neural networks

Being able to implement and fine-tune these algorithms is vital for solving real-world problems. Many data science courses in Pune offer practical projects that simulate industry scenarios, helping you gain hands-on experience with ML models.

5. Data Visualisation and Storytelling

Conveying insights to stakeholders is as important as deriving them. Employers seek candidates skilled in data visualisation tools like:

Tableau

Power BI

Matplotlib and Seaborn

The ability to craft compelling visual narratives ensures that decision-makers understand and trust your insights. Opt for a data science course that includes modules on data storytelling to strengthen this crucial skill.

6. Knowledge of Big Data Tools

In 2024, businesses deal with massive volumes of data. Handling such data efficiently requires expertise in big data technologies like:

Apache Hadoop

Apache Spark

Hive

These tools are highly valued by organisations working on large-scale data processing. A specialised data science course in Pune often integrates these tools into its curriculum to prepare you for big data challenges.

7. Cloud Computing Skills

With most companies transitioning to cloud-based infrastructure, data scientists are expected to have a working knowledge of platforms like AWS, Azure, and Google Cloud. Skills in deploying data pipelines and machine learning models on the cloud are particularly in demand.

Some advanced data science course in pune offer cloud computing modules to help professionals gain a competitive edge.

8. Business Acumen

Employers favor data scientists who understand the business domain they operate in. This skill helps align data science efforts with organisational goals. Whether you're working in finance, healthcare, or retail, the ability to contextualise data insights for business impact is invaluable.

Courses in cities like Pune often include case studies and projects that simulate real-world business challenges, enabling students to develop industry-relevant expertise.

9. Soft Skills: Communication and Team Collaboration

Data science is not a solo endeavour. Employers prioritise candidates who can communicate their findings effectively and collaborate with cross-functional teams. Strong presentation skills and a knack for simplifying technical concepts for non-technical audiences are essential.

10. Continuous Learning Mindset

The rapidly evolving nature of data science means professionals must stay updated on new tools, frameworks, and methodologies. Employers value individuals who show a commitment to learning, making ongoing professional development crucial.

Conclusion

The demand for professionals in data science will only grow in the coming years, but standing out in this competitive field requires mastering a mix of technical and non-technical skills. Whether it’s honing your programming capabilities, diving into machine learning, or building your storytelling prowess, each skill enhances your employability.

For aspiring data scientists, taking part in a data science education tailored to industry demands is the first step. If you’re in Maharashtra, consider enrolling in data science courses in Pune, where you can access high-quality training and networking opportunities in the city’s thriving tech ecosystem.

By investing in your skill set today, you can position yourself as a top candidate in the ever-evolving data science job market.

Business Name: ExcelR - Data Science, Data Analytics Course Training in Pune

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Phone Number: 098809 13504

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[rishihood-edu]

Everything You Should Know About a Bachelor’s Degree in Business Analytics (BBA)

After 12th grade, students have to choose between different programmes for undergraduate degrees. This can be an overwhelming process because there are multiple options to navigate through. One of them is the BBA in Business Analytics, which is perfect for students interested in business, technology, and data. This degree shares business knowledge with analytics skills and opens numerous BBA job opportunities in finance, marketing and more. Read this blog until the end to learn more about the BBA degree and how it can shape your future for the better.

What is a BBA in Business Analytics?

A BBA in Business Analytics comprises a three-year/four-year undergraduate programme. This programme shares knowledge in data analysis so students can get practical experience in improving organisations’ operations.

Key subjects in BBA in Business Analytics include:

Data visualisation

Predictive analytics

Statistics

Communication

Business Law

A BBA degree prepares students to pursue careers as business analysts, data analysts, and market researchers in different industries.

Why Choose a BBA in Business Analytics?

After 12th, students are bombarded with uncountable options, so why is BBA in Business Analytics out of everything? Here is why:

1. High Demand for Data Skills

There is a huge demand for professionals with knowledge of business and data. Innumerable companies look for candidates who can assist them in interpreting data to make intelligent decisions. A BBA degree will mould the student into a valuable asset to any company.

2. Versatile Career Options

This degree has the potential to unlock many doors in different industries. BBA graduates can find career options in BBA finance, operations, marketing, human resources, and a lot more. This depends on the student’s interest.

3. Competitive Salaries

Because data and analytics skills are in high demand, the pay is incredibly good, too. Many BBA graduates earn competitive salaries in finance and technology. With added experience, your growth will also result in increased BBA job opportunities.

What Skills Will You Gain in a BBA Business Analytics Programme?

A BBA undergraduate programme in Business Analytics will help students acquire many skills. Some of the skills are -

1. Data Analysis and Visualisation

Students will learn to work with data using tools like Excel, SQL, Python, and Tableau. They will further learn to analyse information and present it in a simple manner to decision-makers.

2. Business and Financial Knowledge

Business aspirants will acquire fundamental business concepts. This includes financial principles, management basics, and marketing basics. Companies actively look for candidates excelling in these skills.

3. Problem-Solving and Decision-Making

Problem-solving and decision-making are skills anyone should have. However, not everyone can create innovative solutions. A BBA degree helps students look at data and think of a smart solution. This skill is a valuable asset in finance and marketing.

4. Communication Skills

Just because you understand data does not mean you are a valuable asset if you cannot deliver it in a simple manner. Communication is the key to everything. In BBA in Business Analytics, students will learn how to communicate complex information in a way that is easy for the audience to understand. Good communication is a notable skill for professionals working with teams and presenting ideas.

5 BBA Job Opportunities in Business Analytics

One of the biggest advantages of this degree is the range of career paths it offers. Here are some roles you might pursue:

1. Financial Analyst

Financial analysts work with financial data to help companies make investment decisions. This role is perfect if you are interested in finance and want to use your analytics skills to guide major decisions.

2. Business Analyst

Business analysts help companies improve their processes and strategies. They work across departments, from marketing to operations, analysing data to solve specific problems.

3. Data Analyst

Data analysts focus on gathering and interpreting data for specific purposes. In this role, you might create reports or visualisations that help different teams make informed decisions. Data analysts are needed in almost every industry today, from tech to retail.

4. Market Research Analyst

Market research analysts use data to understand customer behaviour and market trends. This is a good option if you’re interested in marketing and want to help companies create products that people want. You’ll analyse data about customer preferences, buying habits, and more.

5. Operations Analyst

Operations analysts focus on improving a company’s processes by using data to identify inefficiencies and recommend solutions. This role suits candidates who enjoy problem-solving and working to streamline operations.

How is a BBA in Business Analytics Different from a General BBA?

While a general BBA covers a broad range of business topics, a BBA in Business Analytics adds a focus on data analysis. In a general BBA, you might take courses in BBA finance, marketing, and management. However, a BBA in Business Analytics includes specialised courses in data science and analytics.

This added focus on analytics gives you an advantage in the job market, especially in roles that need data expertise. If you are interested in the growing field of data and want to build practical skills, a BBA in Business Analytics could be more beneficial than a standard BBA.

Top BBA College In India

Rishihood University offers a programme designed to give you real-world experience from day one for students considering BBA in Business Analytics. Rishihood’s programme is hands-on, letting you work on real-world projects and gain experience while you study. Students can get access to mentorship from global business experts. This will provide guidance and insights into the industry.

Rishihood also offers an option to minor in Computer Science and AI. This allows you to add a tech focus to your studies. The university provides students with modern technology, including a complimentary MacBook Air, to support their learning and projects.

Join the BBA programme at Rishihood University and take the first step towards building a successful career in business analytics.

Conclusion

A BBA in Business Analytics is a strong choice for students with a business mindset and innovative analytics skills. The programme prepares you for a variety of roles, from financial analyst to market research analyst, and gives you a foundation for future studies if you’re interested in advanced business degrees.

If you are excited by the idea of using data to solve real-world business problems, BBA degree could be your gateway to a fulfilling career.

[estbenas]

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[cavillionlearning]

Why Learn Tableau? Here are 5 powerful reasons to get started with this industry-leading tool

1. Industry-Leading Visualization: Transform raw data into stunning visuals!

2. High Demand in Data Analytics: Tableau skills are highly valued in today’s job market.

3. Actionable Insights in Minutes: Make data-driven decisions faster.

4. User-Friendly Interface: Easy to learn, even for beginners.

5. Boost Your Career: Stand out in data roles and advance your career! Want to take your skills to the next level?

Join our 1-day Tableau Bootcamp on 2nd November (Online)!

[scribblesoul-20]

Job title: Program Design and Development Analyst - Emiratisation Company: Michael Page Job description: You will be involved in utilising data visualisation tools to assess program effectiveness, integrating educational technologies, and contributing to the development of innovative learning solutions.Client DetailsA top-tier local government entity in Abu Dhabi.Description Collect, analyse, and interpret program data to inform decision-making. Utilise data visualisation tools and statistical software (e.g., Excel, Tableau, SPSS) for reporting. Leverage knowledge of learning management systems (LMS) and educational technologies to support program development. Collaborate with instructional designers and program developers to create effective learning experiences. Organise and manage multiple projects efficiently to meet deadlines. Contribute to program evaluation and enhancement initiatives based on data-driven insights.Profile Bachelor's degree in Education, Learning Design, Business, or a specialised field. Must have 3-5 years of experience in data analysis, program evaluation, and development within an educational or training environment. Proficiency in English (both written and spoken) is essential; proficiency in Arabic is highly preferred. Certification in Data Analytics or Educational Program Evaluation would be beneficial. Proficiency in data visualisation tools and statistical software (e.g., Excel, Tableau, SPSS). Knowledge of learning management systems (LMS) and educational technologies, along with effective collaboration with instructional designers and program developers, is preferred. Candidates should demonstrate a strong capacity for adaptability, critical thinking, innovation and teamwork.Job Offer Work on a diverse range of projects within learning design and development Continued professional and personal development opportunities Expected salary: Location: United Arab Emirates Job date: Sat, 05 Oct 2024 07:46:36 GMT Apply for the job now!

[mplus-weekly]

Dragonflight Season 2 Week 15

This week, I updated the api call to include runs from US and EU servers, increasing the total number of runs scraped from 2000 to 4000.

For the dashboard design, I wanted to try a more illustrative style that featured bright colours and bold black outlines. Unfortunately, I don't think it worked out. The plain black background was chosen to make the colours pop but feels too overwhelming, and there is little cohesion in the colour palette.

I would like to attempt this style again in the future, perhaps with more planning.

[priyayd18]

Comprehensive instruction in statistical modelling, machine learning, and data analysis is provided by the IoT Academy's Data Science Course. Python, SQL, and fundamental data visualisation methods are covered. In order to prepare students for careers in data science and analytics, the course offers practical projects, real-world datasets, and industry insights. Perfect for both novices and experts.

[thinknexttrainingblog]

Data Analyst Course in Chandigarh

The Data Analyst Course at ThinkNEXT Technologies Private Limited in Chandigarh equips students with the essential skills to excel in data analysis. This comprehensive program covers data collection, processing, visualisation, and interpretation using industry-relevant tools like Python, Excel, SQL, and Tableau. Whether a beginner or an experienced professional, this course offers hands-on training, real-world projects, and expert guidance to help you become a proficient data analyst. With a focus on practical learning and career growth, ThinkNEXT prepares you for a successful career in the ever-evolving world of data analytics.