For beginners, I recommend checking out all the available resources on the internet first to build a strong foundation of the fundamentals of the domain. The internet is filled with video tutorials, blogs, e-books, free courses, etc. on literally any topic you could imagine. It is a very good way to get started on Data Science and Machine Learning as well. Here is a YouTube playlist by Intellipaat that covers a lot on the Data Science domain -
Here is another comprehensive tutorial to get you started on Machine Learning:
The tutorials are specifically designed to help out beginners such as yourself to start learning from scratch in a sequential and organized manner.
As a Data Science aspirant, you will be expected to have proficiency in:
- Data Exploration
- Data Manipulation
- Data Visualization & Communication
- Python
- R programming
- Big Data Hadoop
- Machine Learning and AI
- Statistics
- SQL Database/Coding
- Apache Spark
- Multivariable Calculus & Linear Algebra
- Logistic Regression
- Decision Trees and Random Forest
- Unsupervised Learning
- Association Rule Mining and Recommendation Engines
Necessary Machine Learning skills include:
- Supervised Learning and Linear Regression
- Classification and Logistic Regression
- Decision Tree and Random Forest
- Naïve Bayes and Support Vector Machine
- Unsupervised Learning
- Natural Language Processing and Text Mining
- Deep Learning
- Time Series Analysis
Intellipaat has carefully curated courses on both Data Science and Machine Learning. So, make sure to consult the course advisors at Intellipaat to find out which training is suitable for you—Data Science course or Machine Learning course. The courses offer 24/7 learning support and placement assistance that is available for learners who have completed the courses.
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