Data Science - Python
Languages
English + Hindi + Gujarati + Telugu
Batch Size
20-25
Duration
60 hours
Course Contents
- Learn about foundation in data science, using a structured methodology. including working on exploratory data analysis, data wrangling and preprocessing
- The learners will be able to build Supervised and Unsupervised Learning models using Python
- Participants are required to work on minimum one project
- Statistics for Data Science
- Python for Data Analysis and Data Preprocessing
- Exploratory Data Analysis
- Python Libraries
- Matplotlib, Seaborn, Sklearn, Pandas, Numpy
- Machine Learning Algorithms using Python
- Supervised Learning
- Regression/Prediction and Classification models
- Logistics, KNN, Decision Trees, Random Forest Naïve Bayes
- Unsupervised Learning
- Clustering, Recommendation Engine
- K- Means, SVM, PCA
- Model Evaluation Techniques
- Model Improvement Techniques
- Model Deployment using Flask
Who Can Take This Course? Anyone and everyone who loves numbers and computer codes! From students to working professionals and data analysts and machine learning specialists, this course is open to all.
- Basic computer skills
- An understanding of high school mathematics or statistics (don’t worry, it’s not as scary as it sounds!)
- A strong zeal to learn and upskill yourself. Inquisitiveness and passion are the key!
Instructor Profile
Expert in Python, Anaconda, Orange, Data Science, Machine Learning, Deep Learning.
This course includes:
100% Online Sessions
Instructor led
Customizable Syllabus
Customizable Schedule
Certificate of Completion
Training Recordings
Training Resources
Learner Assessment
Related courses
Data Visualization - Python
Data visualization provides a powerful way to communicate data-driven findings, motivate analyses, and detect flaws.How to communicate data-driven findingsLearn Matplotlib, Seaborn, Ggplot
By Dimple K Sanghvi
View Details
Python with Machine Learning
This course is intended to expose learners to the latest tools used in Data Science, Exploratory Data Analysis, building models using Machine Learning Algorithms using Python, and effectively building predictive models for helping business meet its objectives.Understand the importance of Data Science, Machine Learning and its applicationsUnderstand data visualization for exploratory analysis and effective communication to a diverse audienceUnderstand and build supervised and unsupervised algorithms based on the problem statements and the data (labelled and unlabeled data)Evaluate the performance of the modelsBuild analytics solutions and assess their effectiveness;To apply the relevant concepts of Data Science to a given context/business scenarioTo analyze a problem/ business data and conduct EDA, build models to predict the patterns from the dataTo building predictive models using Machine Learning Algorithms and other tools and techniques
By Dimple K Sanghvi
View Details
Python and Machine Learning
Data Science, Machine Learning and its applicationsData VisualizationSupervised and unsupervised algorithmsAnalytics solutions and assessment of their effectiveness
By Dr Shirshendu Roy
View Details
Data Science with Python
Career building python course to make you succeed as a Data ScientistWith Interactive Python Exercises you will get Hands on experienceYou will learn different data structures, functions, advance libraries like NUMPY, PANDAS, Matplotlib, SKLEARN, etc.You will e train on different Machine Learning Module
By Arindam Dev
View Details