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

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.

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]

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    Basic to intermediate and eventually advanced practicing full hands-on lab exercises till you master.

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    Includes evaluation, feedback, and tips to handle critical issues in live setup after you are placed in a job.

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