Data Science with Python Online Course

Data Science using Python Training

Data Science using Python, Learn Data Science using Python course know more about the data scientists in Python course, NLP, deep learning with online training course provided by Mildaintrainings, learn web scraping, business analysis, supervised learning, artificial intelligence, and machine learning This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course. Enroll & Get Certified now!

✔ Course Duration : 40 hrs

✔ Training Options : Live Online / Self-Paced / Classroom

✔ Certification Pass : Guaranteed

Data Science using Python Training

What you will Learn

The Data Science with Python course will give you in-depth knowledge of the various libraries and packages required to perform data analysis, data visualization, web scraping, machine learning and natural language processing using Python. With this Data Science with Python course, you will learn to work with Python packages such as PROC SQL and various statistical procedures such as PROC UNIVARIATE, PROC MEANS, PROC FREQ, and PROC CORP, as well as advanced analytics techniques such as clustering, decision tree, and regression.
The Python for Data Science course is packed with real-life projects focused on customer segmentation, macro calls, attrition analysis, and retail analysis, as well as demos and case studies to give you practical experience in installing and working in the Python environment.
Python has surpassed Java as the top language used to introduce US students to programming and computer science, and 46 percent of data science jobs list Python as a required skill.

PREREQUISITES

Prerequisites: There are no prerequisites for this Data Science with Python course. The Python basics course included with this program provides additional coding guidance.

CURRICULUM

Learning Objectives:

Course Overview
Data Science Overview

Introduction to Data Science
Different Sectors Using Data Science
Purpose and Components of Python

Learning Objectives:

Data Analytics Process
Knowledge Check
Exploratory Data Analysis(EDA)
EDA-Quantitative Technique
EDA – Graphical Technique
Data Analytics Conclusion or Predictions
Data Analytics Communication
Data Types for Plotting
Data Types and Plotting

Learning Objectives:

Introduction to Statistics
Statistical and Non-statistical Analysis
Major Categories of Statistics
Statistical Analysis Considerations
Population and Sample
Statistical Analysis Process
Data Distribution
Dispersion
Histogram
Testing
Correlation and Inferential Statistics

Learning Objectives:

Anaconda
Installation of Anaconda Python Distribution (contd.)
Data Types with Python
Basic Operators and Functions

Learning Objectives:

Introduction to Numpy
Activity-Sequence it Right
Creating and Printing an ndarray
Knowledge Check
Class and Attributes of ndarray
Basic Operations
Activity-Slice It
Copy and Views
Mathematical Functions of Numpy

Learning Objectives:

Introduction to SciPy
SciPy Sub Package – Integration and Optimization
SciPy sub package
Calculate Eigenvalues and Eigenvector
SciPy Sub Package – Statistics, Weave and IO

Learning Objectives:

Introduction to Pandas
Understanding DataFrame
View and Select Data Demo
Missing Values
Data Operations
Knowledge Check
File Read and Write SupportPreview
Knowledge Check-Sequence it Right
Pandas Sql Operation

Learning Objectives:

Machine Learning Approach
How it Works
Supervised Learning Model Considerations
Scikit-Learn
Supervised Learning Models – Linear Regression
Supervised Learning Models – Logistic Regression
Unsupervised Learning Models
Pipeline
Model Persistence and Evaluation

Learning Objectives:

NLP Overview
NLP Applications
Knowledge check
NLP Libraries-Scikit
Extraction Considerations
Scikit Learn-Model Training and Grid Search

Learning Objectives:

Introduction to Data Visualization
Knowledge Check
Line Properties
(x,y) Plot and Subplots
Knowledge Check
Types of Plots

Learning Objectives:

Web Scraping and Parsing
Knowledge Check
Understanding and Searching the Tree
Navigating options
Navigating a Tree
Modifying the Tree
Parsing and Printing the Document

Learning Objectives:

Why Big Data Solutions are Provided for Python
Hadoop Core Components
Python Integration with HDFS using Hadoop Streaming
Python Integration with Spark using PySpark

FAQs

You can enroll for this classroom training online. Payments can be made using any of the following options and receipt of the same will be issued to the candidate automatically via email.
1. Online ,By deposit the mildain bank account
2. Pay by cash team training center location

Highly qualified and certified instructors with 20+ years of experience deliver more than 200+ classroom training.

Contact us using the form on the right of any page on the mildaintrainings website, or select the Live Chat link. Our customer service representatives will be able to give you more details.

You will never miss a lecture at Mildaintrainigs! You can choose either of the two options: View the recorded session of the class available in your LMS. You can attend the missed session, in any other live batch.

We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.

Yes, you can cancel your enrollment if necessary prior to 3rd session i.e first two sessions will be for your evaluation. We will refund the full amount without deducting any fee for more details check our Refund Policy

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

Just give us a CALL at +91 8447121833 OR email at [email protected]

Call us At