Necessary Required Skills
Intro To Data & Data Science
We live in a data-driven world & studies evaluate that the data gets generated continuously across the globe. With the increasing demand, analyzing the data and its principles help you advance in your career in data science. Data science aid firms to find patterns in massive volumes of organized & unstructured massive data. As a result, businesses may enhance efficiency, control expenses, uncover new market possibilities, and strengthen their competitive edge.
You will learn: Our Data Science training will help you gain an in-depth understanding of Big Data, Business Intelligence, Business Analytics, Machine Learning & Artificial Intelligence concepts. Our instructors will give you a comprehensive knowledge of these concepts & help you fit in the domain.
2. Mathematics
Before you delve into any specific techniques, it is crucial to have a solid foundation in calculus & linear algebra, which will allow you to understand and use the fundamental mathematics concepts of the field.
You will learn:Our Data Science course will show you how to use derivatives, integrals & matrices to solve problems related to data science.
3. Statistics
Statistics trains your mind to frame problems as hypotheses & gives you techniques to test these hypotheses, just like a scientist.
You will learn:Our data science training prepares you to think like an expert by utilizing various statistical techniques alongside improving your skills. You not only acquire the skills you need, but you also learn how to apply them in this domain.
4. Python
Python is a relatively new programming language & unlike R, it is a general-purpose programming language. Web applications, computer games & data science are many of its capabilities. Extreme libraries enable data manipulation, transformation & visualization. Also, Python deals with machine learning & deep learning.
You will learn: Trainees will learn powerful frameworks such as sci-kit-learn, TensorFlow & more, which they will use to develop, implement, and deploy machine learning models.
5. Advanced Statistics
Statistical methods such as regressions, clustering & factor analysis can be performed through machine learning to produce predictions with unparalleled accuracy. This section will go through these strategies in depth.
You will learn: Predictive modeling is a crucial component of data science & you can hone your skills with advanced statistics. Our curriculum allows trainees to integrate data into projects using these concepts.
6. Machine Learning
The final part of the program will focus on deep learning, the most recent advancement in machine-learning technology.
You will learn: Through Machine Learning, learn how to use deep learning with TensorFlow to take your data analysis to the next level.
