Complete Data Science Roadmap For 2025 | Data Scientist Roadmap For Beginners 2025 | Simplilearn
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In this Simplilearn video, we outline the key roadmap to stand out in the data science field by 2025! From mastering core programming languages like Python and using version control tools like Git to understanding essential data structures, algorithms, and SQL—this guide has it all. We dive into crucial math and stats areas such as calculus, linear algebra, and probability, as well as data preprocessing and visualization with Numpy, Pandas, Matplotlib, and Seaborn. Gain insights into machine learning fundamentals like supervised and unsupervised learning, plus key tools, deep learning concepts, and specializations in NLP, Computer Vision, and Big Data. This guide will give you all the skills to succeed as a top data scientist!
00:00:04 - Introduction
00:01:05 - Programming Languages
00:01:38 - Version Control System
00:02:51 - Data Structures and Algorithms
00:03:37 - SQL
00:04:13 - Mathematics and Statistics
00:04:49 - Data Preprocessing and Visualization
00:05:46 - Machine Learning Fundamentals
00:06:37 - Deep Learning
00:07:26 - Specialization
00:08:52 - Big Data
Data science is a field that uses math, statistics, and computer skills to make sense of large amounts of data, helping businesses and organizations make better decisions. Data scientists gather and clean data from different sources, look for patterns, and use machine learning to build models that can make predictions or classify information. They then turn their findings into easy-to-understand visuals, so non-technical team members can understand and act on the insights. With skills in coding, analyzing, and understanding the industry they’re working in, data scientists help fields like healthcare, finance, and marketing turn data into valuable, actionable ideas.
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➡️ About Data Science course in collaboration with IBM
This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.
✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Masterclasses from IBM experts
- Dedicated live sessions by faculty of industry experts
- Industry-recognized Data Scientist Master’s certificate from Simplilearn
- Industry-recognized IBM certifications for IBM courses
- Ask-Me-Anything (AMA) sessions with IBM leadership
- Capstone from 3 domains and 25+ projects
- Exclusive hackathons conducted by IBM
- Lifetime access to self-paced learning content
- Program crafted to initiate your journey as a Data Scientist
- Integrated labs for hands-on learning experience
✅ Skills Covered
- Generative AI
- Prompt Engineering
- ChatGPT
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Explainable AI
- Conversational AI
- Large Language Models
- Model Building and Finetuning
- Ensemble Learning
- Data Visualization
- Database Management
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