#DataScienceChallenges

[anandshivam2411]

What does a data scientist do?

A data scientist works with data to solve problems and help organizations make better decisions. Here’s a breakdown of what they do:

1. Collect Data

Data scientists start by gathering information from various sources, like websites, sensors, or databases. This data can range from customer details to sales figures, depending on the problem they’re trying to solve.

2. Organize and Clean Data

Once the data is collected, it often needs to be cleaned and organized. This step is crucial because raw data can contain errors, inconsistencies, or missing values. The goal is to make sure the data is accurate and structured properly for analysis.

3. Find Patterns

After organizing the data, data scientists search for trends or patterns that could provide insights into the problem they’re working on. For example, they might look for seasonality in sales or patterns in customer behavior that can drive business decisions.

4. Make Predictions

Data scientists use advanced algorithms and machine learning models to predict future outcomes based on the patterns they’ve found. This could include forecasting sales, predicting customer churn, or identifying opportunities for growth.

5. Explain Results

After analyzing the data and making predictions, data scientists share their findings with others, such as business leaders or technical teams. They present the insights in a clear way to ensure decision-makers can use the information to make smarter choices.

6. Overcoming Challenges

A career in data science comes with its own set of challenges. Data scientists must handle large datasets, continuously learn new tools, and adapt to evolving technologies. The role requires strong problem-solving skills, adaptability, and persistence to stay ahead in this fast-changing field.

In short, data scientists help organizations understand data to make smarter, data-driven decisions while overcoming challenges like handling large datasets and staying current with new technologies.

[alfathdev]

November 2020, saya mengikuti tantangan National Data Science yang diselenggarakan oleh @shopee_id. Pengalaman luar biasa bisa mengikuti kompetisi ini. National Data Science Challenge 2020 adalah kompetisi data satu hari yang terbuka untuk semua profesional dan pelajar. Kompetisi ini terdiri dari dua babak masalah Ilmu Data dan Analisis Data yang dirancang oleh Tim Teknologi @shopee_id. Peserta harus menganalisis kumpulan data, menarik kesimpulan yang berwawasan, dan memecahkan masalah dalam waktu yang ditentukan. Peserta tidak hanya mendapatkan kesempatan membuat kode untuk menghasilkan wawasan yang memecahkan masalah industri nyata, kompetisi ini juga akan memberi mereka kesempatan untuk menguji keterampilan pengkodean mereka dan memahami pentingnya keterampilan data yang diperlukan di Shopee. #datascience #challenge #shopee #datamining #AI #programming #programmer #developer #machinelearning #nationaldatascience #BigData #DataScienceChallenge #Coding #VB #VisualBasic #Python #R #AnalisisData #ProblemSolving #IT #TeknologiInformasi #Algoritma (di East Java) https://www.instagram.com/p/CJ2CJrgAbgK/?igshid=indrww0u9vvh