Data Science with Python

4.6 /5

Data Science with Python
at
Technogeeks
Overview

Earn a Certificate
Comprehensive course covers all aspects of the data science project life cycle, like data collection, data cleaning, data exploration, and data modelling, and culminates with the interpretation of data
Tips from working Data scientist, Data Analyst on how to write clean and reusable code, data analysis & machine learning models
Carefully selected data science, machine learning questions to provide you with all the practice you need during training
Course designed for non-IT & IT professionals
Classroom & Online Training – Can switch from online training to classroom training
100% placement calls guaranteed till you get placed
Working professional as instructor
Hands-on Experience with Real-Time Projects
Proof of concept (POC) to demonstrate or self-evaluate the concept or theory taught by the instructor. 2 – Python POC, 5 – Data Science POC
Hands-on Experience with Real-Time Projects
Resume Building & Mock Interviews
Evaluation after each Topic completion
Interview Preparation Support

Skills you will learn

Who should do this course?

What are the course deliverables?

Python programming language
Learn Seaborn to create beautiful statistical plots with Python
You will build a portfolio of data science projects with real-world data
Get set up quickly with the Anaconda data science stack environment
Master critical data science skills
You can analyze your own data sets and gain insights through data science
Learn Pandas for data manipulation with Python
Learn Matplotlib to create fully customized data visualizations with Python
Learn NumPy for numerical processing with Python
You will create data pipeline workflows to analyze, visualize, and gain insights from data in tools like Tableau and PowerBI
Replicate real-world situations and data reports in hands-on examples
APIs integration using the Flask framework
Understand Machine Learning from top to bottom
Create supervised machine learning algorithms to predict classes
Create regression machine learning algorithms for predicting continuous values
Explore how to deploy machine learning models as interactive APIs
Learn how to use Scikit-learn to apply powerful machine learning algorithms
Learn best practices for real-world data sets
Understand the full production workflow for the machine learning lifecycle
You will also learn about deep learning using the TensorFlow and Keras frameworks
Construct a modern portfolio of data science and machine learning resume projects

More about this course

It is an interactive data science training, which combines industry-based, job-oriented, hands-on, interactive training with 70 hours of assignments and 70 hours of real-time data science, machine learning, hands-on projects with source code
The IT professionals who created the data science course will have the learners work on real-world data analytics and machine learning projects
Data Science Training from Technogeeks covers Data Visualization, Machine Learning, Deep Learning, Natural Language Processing (NLP), Artificial Intelligence (AI), Data Analytics, and Python Programming