Back to feeds

Harish Kumar

Stealth • 23h

Python is a beginner-friendly and powerful programming language, perfect for diving into data science. Start by learning the basics like variables, loops, and functions. Explore popular libraries such as Pandas for data manipulation, NumPy for numerical operations, and Matplotlib for visualizations. Practice analyzing datasets to gain hands-on experience. Tools like Jupyter Notebooks make coding and documentation easy. As you grow, delve into advanced topics like machine learning using Scikit-learn. With consistent effort and practice, Python can become your gateway to data science mastery. More info: https://lnkd.in/dvEid2p6 hashtag#PythonForDataScience hashtag#DataScienceBeginners hashtag#LearnPython hashtag#DataAnalysis hashtag#PythonLibraries hashtag#NumPy hashtag#Pandas hashtag#Matplotlib hashtag#Kaggle hashtag#DataScienceJourney

0 replies2 likes

More like this

Recommendations from Medial

Image Description

Kevin Patel

Stealth • 8m

Some one please guide me for the road map of the data science: Skill I do have right now is Python, numpy , pandas (learning) After completing pandas, numpy and Excel can I do freelancing.. It will be so helpful if someone guides me

2 replies5 likes
Image Description

Inayat Hasan

Stealth • 6m

[This post has been deleted by the creator]

1 replies4 likes

Inayat Hasan

Stealth • 6m

[This post has been deleted by the creator]

0 replies2 likes
Image Description

Payal Manghnani

Stealth • 17d

Essential Python Topics for Data Analysts 😄👇 - Data Structures: Lists, Dictionaries, Sets, and Tuples. - NumPy: Array manipulation for numerical operations. - Pandas: Data manipulation and analysis with DataFrame. - Data Cleaning: Handling missin

See More
2 replies5 likes
1

Mantra Pandya

Stealth • 4m

Day 2 of 100 days of code of data science Lessons learnt Python lists Functions Python problems

0 replies3 likes

Amar Chaurasiya

Stealth • 17d

I want to start my career in the field of data science. I have completed a Data Science and AI course from the Boston Institute of Analytics. My skills include Python, SQL, machine learning, deep learning, natural language processing (NLP), statistic

See More
0 replies2 likes

Yogesh Jamdade

Stealth • 6m

NumPy 2.0: A Game Changer (Released June 2024) NumPy 2.0, released in June 2024, is a major update for scientific computing in Python. Here's what's exciting: Variable-length strings: Finally! Store and manipulate text data with ease using new `Str

See More
0 replies15 likes

Haran Naresh K

Stealth • 5m

🎙️ Data Science Podcast Insights! 🎙️Today, I had the privilege of tuning into an enlightening podcast with Abhishek Das, a seasoned data scientist. Here are the standout points:Role over Titles: Focus on the responsibilities, not just the title.Mas

See More
0 replies3 likes
1
Image Description
Image Description

Payal Manghnani

Stealth • 1m

What Programming languages do you use on regular basis? A study from 2018 with a 18,827 sample size voted Python (87%) as the top programming language for data analysis and data science, followed by SQL (44%) and R language (31%), respectively. Do

See More
9 replies15 likes

Payal Manghnani

Stealth • 5m

Steps to Enter Data Science 1. Learn the Basics: Master programming languages like Python and R, as well as tools like TensorFlow, sci-kit-learn, and Tableau. 2. Choose Your Field: Select a specific industry, such as healthcare or finance, and lear

See More
0 replies10 likes
3

Download the medial app to read full posts, comements and news.