Course / Data Science & AI/ML
Data Science & AI/ML
This course offers extensive training in Data Science and Artificial Intelligence/Machine Learning (AI/ML), empowering learners to grasp the foundational principles and services of today’s leading data-driven technologies.
Data Science & AI/ML
Artificial Intelligence - Road to AI Career
Course Duration
120 Hours
Course Engagement
Live Classes
Rewards
Certification
When do you want to start?
Started in IT thanks to Blockverse
Data Science & AI/ML training from BlockVerse Academy
Are you fascinated by the world of Data Science and Artificial Intelligence/Machine Learning (AI/ML)? Dive into the Data Science & AI/ML course at BlockVerse academy. In this training, you will immerse yourself in the exploration of data-driven insights and the application of cutting-edge AI/ML algorithms.
Ready to embark on your journey into the realm of data intelligence? Enroll with us today. If you prefer to gather more insights about our Data Science & AI/ML Specialist training, who we are, and the opportunities that await you, read on; we’ve got all the details below.
You will learn this
Our Data Science & AI/ML course is tailored for individuals interested in harnessing the power of data and AI/ML. Through diverse modules, we aim to equip you with the skills needed for the following:
Module 1 : PREREQUISITES
- Data Analysis using Excel
- Statistics Fundamentals for Data Science
Module 2 : Python
- Python Fundamentals for Data Science
- Programming in Python
- Data Visualization in python
Module 3 : SQL
Data Analysis using SQL
- Advance SQL
- Exploratory Data Analysis(EDA), Data Pre-processing &
Data Transformation
Module 4 : Machine Learning
Unsupervised Machine Learning – Principal Component Analysis(PCA) and Clustering
Supervised Machine Learning – Decision Trees ML Model
Evaluation – Alternative Approaches ,Artificial Neural Networks Linear Regression ,Logistic Regres ,Linear Discriminant Analysis (LDA), Naïve Bayes & KNN Models
Supervised Machine Learning – Ensemble Models Model Performance Enhancement Time Series Analysis & Forecasting
Module 5 : Capstone projects
Learning through industry-relevant projects and learn how to solve a real-world, industry-aligned Data Science problem, from data processing and model building to reporting business results and insights.
Key technique for a Full Stack Web Developer.
Python Programming for Data Science
Master the Python programming language, a versatile tool widely used in the data science and AI/ML domains.
Statistical Analysis and Data Visualization
Learn statistical methods for data analysis and visualization techniques to derive meaningful insights from complex datasets.
Machine Learning Algorithms
Dive into the world of machine learning, exploring algorithms such as regression, classification, clustering, and more.
Deep Learning and Neural Networks
Explore the fascinating field of deep learning, including neural networks and their applications in AI.
Data Preprocessing and Feature Engineering
Understand the importance of data preprocessing and feature engineering for enhancing the performance of machine learning models.
Big Data Technologies - Apache Spark
Gain proficiency in handling large-scale data with technologies like Apache Spark, essential for data science and AI/ML specialists.
Natural Language Processing (NLP)
Delve into the realm of NLP, understanding how machines can comprehend and generate human language.
Real-world Data Science Projects
Apply your acquired skills to real-world data science projects, gaining hands-on experience in solving practical challenges.
Why we should go with this
Started in IT thanks to Blockverse
Data Science & AI/ML Specialist - A Career with Impact?
If you aspire to build a career as a Data Science & AI/ML Specialist and work on cutting-edge technologies, here are some compelling reasons to consider:
-
High demand across industries for data-driven insights and AI/ML solutions
-
Dynamic and evolving field, offering diverse opportunities for innovation
-
Continuous learning and professional development in the rapidly advancing domain of AI/ML.
