Data Science with Python Training

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Data Science with Python Course Details

The Data Science with Python certification course at Zx Academy teaches the candidate to master Python programming concepts. During the Python Data Science training, a candidate will learn Machine Learning, Data Analysis, Web Scraping, Data Visualization, and NLP.

The Python Data Science certification course enables the candidate to learn the concepts from scratch and master vital Python programming concepts like file operations, object-oriented programming, data operations, and many Python libraries like Numpy, Pandas, Matplotlib essential for Data Science. Besides, the Python Data Science course makes the candidate understand various types of Recommendation Systems, Machine Learning, and several concepts of Data Science.

Highlights of Zx Academy Training:

  • 24/7 Support throughout the training period
  • Live online classes
  • Training under industry experts
  • Free study material
  • Flexible timings to all our students

What will you learn in Data Science with Python Certification training?

After completion of the Data Science with Python Certification training, you will learn:

  • Sequences and File Operations
  • Data Manipulation
  • Supervised Learning
  • Unsupervised Learning
  • Dimensionality Reduction
  • Association Rules Mining and Recommendation Systems
  • Model Selection and Boosting
  • Time Series Analysis

Who should take this Data Science with Python Certification training?

The Data Science with Python Certification training course is suited for:

  • Technical Leads, Developers
  • Analytics Managers
  • Business Analysts
  • Predictive Analytics
  • Architects

What are the prerequisites for taking Data Science with Python Certification training?

The prerequisites for taking Data Science with Python certification training are:

  • Basic understanding of computer programming languages.
  • Basics of Data Analysis.

Why should you go for Data Science with Python Certification training?

Zx Academy's Data Science with Python course training helps the candidate gain applied data science expertise using Python. This course is packed with many activity assignments, problems, and scenarios that ensure a candidate attains practical experience in addressing predictive modeling problems. The Data Science with Python Certification training covers both fundamental and advanced topics like Python scripts, file operations, and sequence. The candidate can use a few libraries like NumPy, Scikit, Pandas, and Matplotlib.

Salary Trends:

According to Glassdoor, the average salary of a Data Scientist is $1,70,000 per year.

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Data Science with Python Curriculum

Overview
The Companies using Python
Different Applications where it is used
Discuss Python Scripts on UNIX/Windows
Values, Types, Variables
Operands and Expressions
Conditional Statements
Loops
Command Line Arguments
Writing to the screen

Python files I/O Functions
Numbers
Strings and related operations
Tuples and related operations
Lists and related operations
Dictionaries and related operations
Sets and related operations

Functions
Function Parameters
Global Variables
Variable Scope and Returning Values
Lambda Functions
Object-Oriented Concepts
Standard Libraries
Modules Used in Python
The Import Statements
Module Search Path
Package Installation Ways
Errors and Exception Handling
Handling Multiple Exceptions

NumPy - arrays
Operations on arrays
Indexing slicing and iterating
Reading and writing arrays on files
Pandas - data structures & index operations
Reading and Writing data from Excel/CSV formats into Pandas
matplotlib library
Grids, axes, plots
Markers, colours, fonts and styling
Types of plots - bar graphs, pie charts, histograms
Contour plots

Basic Functionalities of a data object
Merging of Data objects
Concatenation of data objects
Types of Joins on data objects
Exploring a Dataset
Analysing a dataset

Revision (numpy, Pandas, scikit learn, matplotlib)
What is Machine Learning?
Machine Learning Use-Cases
Machine Learning Process Flow
Machine Learning Categories
Linear regression
Gradient descent

What are Classification and its use cases?
What is Decision Tree?
Algorithm for Decision Tree Induction
Creating a Perfect Decision Tree
Confusion Matrix
What is Random Forest?

Introduction to Dimensionality
Why Dimensionality Reduction
PCA
Factor Analysis
Scaling dimensional model
LDA

What is Naïve Bayes?
How Naïve Bayes works?
Implementing Naïve Bayes Classifier
What is Support Vector Machine?
Illustrate how Support Vector Machine works?
Hyperparameter Optimization
Grid Search vs Random Search
Implementation of Support Vector Machine for Classification

What is Clustering & its Use Cases?
What is K-means Clustering?
How does K-means algorithm work?
How to do optimal clustering
What is C-means Clustering?
What is Hierarchical Clustering?
How Hierarchical Clustering works?

What are Association Rules?
Association Rule Parameters
Calculating Association Rule Parameters
Recommendation Engines
How does Recommendation Engines work?
Collaborative Filtering
Content-Based Filtering

What is Reinforcement Learning
Elements of Reinforcement Learning
Exploration vs Exploitation dilemma
Epsilon Greedy Algorithm
Markov Decision Process (MDP)
Q values and V values
Q – Learning
α values

What is Time Series Analysis?
Importance of TSA
Components of TSA
White Noise
AR model
MA model
ARMA model
ARIMA model
Stationarity
ACF & PACF

What is Model Selection?
The need for Model Selection
Cross-Validation
What is Boosting?
How Boosting Algorithms work?
Types of Boosting Algorithms
Adaptive Boosting

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Projects on Data Science with Python

Exploratory Data Analysis (EDA) on an Actual Dataset: A Case Study:

Select an existing dataset, cleanse its data and conduct exploratory data analysis before creating visualizations to understand data patterns and relationships.

Predictive Modeling with Supervised Machine Learning Algorithm:

Construct a predictive model using a supervised machine learning algorithm such as linear regression or decision trees. Train and test it against data to evaluate its performance metrics such as accuracy or mean squared error.

Project Resources

Data Science with Python Certification

Becoming certified in Data Science with Python will demonstrate your expertise, making you more attractive as a candidate for data science and machine learning roles.

Certification exams can typically be found either at testing centers or remotely proctored online, depending on the certifying body.

As costs can differ depending on which certification provider is being utilized, for the latest pricing information reach out directly.

Certifications have an expiration period, with renewal requirements differing according to each certifying body. For specific information regarding recertification, it's advisable to reach out directly.

Get certification or Get ahead with Zx Academy’s Certification or

Faq’s for Data Science with Python

Training in Data Science with Python emphasizes teaching data analysis, machine learning and visualization using this popular programming language. Python offers powerful libraries for these tasks that make this training essential to data scientists.

While specific requirements may vary, having some prior experience in programming Python as well as understanding some fundamental data analysis concepts could prove invaluable.

Courses typically cover data manipulation, data visualization, statistical analysis, machine learning and real-life data science projects.

Depending on the course, duration can range anywhere from one to several weeks or months to complete.

Graduates can pursue careers as data scientists, machine learning engineers, data analysts and more - with high earning potential.

Many courses designed for novices provide an incremental learning path and hands-on projects for newcomers to take.

Yes, many training providers provide online courses which allow for maximum flexibility with regards to location and timing.

Prices depend on the training provider, course format and additional materials provided.

Certifications provide evidence of your skills and can make you more attractive in the job market.

Many courses include real-world projects that allow you to apply what you learn while also gaining practical experience.

Reviews

Data Science with Python rated (5.0 / 5) based on 2 reviews.

bhavya

5
l'm successfully completed the Data Science with Python Training at Zx Academy. I'm really happy to have found the Zx Academy training course.

vani

5
I have joined the Data Science with Python Training at Zx Academy. The Trainer having good knowledge and explained all concepts with real-time examples.

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