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PYTHON TRAINING FOR DATA SCIENCE CERTIFICATION COURSE

(5.0/5) 555+ Students Enrolled

Whether you are just starting or an experienced pro, Codegnan Python for Data Science course enables you to master Data Science Analytics using Python. You will work on various Python libraries like SciPy, NumPy, Matplotlib, Lambda function, etc. You will master data science analytics skills through real-world projects in multiple domains like Big Data, Data Science and Machine Learning. Our hands-on approach will help you reach your goals faster with more confidence. Let us help you master the concepts of Data Science with Python based on real-life industry cases to increase your job market value.

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Python for Data Science Certification OVERVIEW

Python Training for Data Science by Codegnan will help you gain in-depth knowledge of designing, developing, and deploying data science applications to open up the shortest career path to become a data scientist as it is among the highest paid and most in-demand professions. The training will enable you to master Python 3.8+ along with the concepts like statistical methods, data acquisition and analysis, Machine Learning algorithms, predictive analytics, etc. At the end of the course, you will work on a capstone project to check your learning skills. Take your step ahead in the amazing and fruitful career in data science!

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Key Features

200 Hours Instructor Led Training

Self-Paced Videos

Exercises & Projects

Certification & Job Assistance

Flexible Schedule

Lifetime Access & Upgrade

24/7 Lifetime Support

Self Placed Training

Self Placed Training

60Hrs E-Learning Videos

Lifetime Access

24/7 Support

Coming Soon

Online Classroom Training

Course Price

25000

50000

50% Off, Expires in 15 days!

Classroom Training

Course Price

25000

50000

50% Off, Expires in 15 days!

Online Classroom Training

Course Price

25000

50000

50% Off, Expires in 15 days!

Classroom Training

(Only For Vijayawada)
Course Price

25000

50000

50% Off, Expires in 15 days!

Python for Data Science Certification CURRICULUM

1. History of Python

2. Data Types of Python

3. Data Containers of Python

4. Control and Conditional Statements

5. Functions, Modules, Packages

6. Files, Exceptions

1. Importance of Data in 21st Century

2. Types of Data and its usage

3. What is Machine Learning and types of Learning

4. Anaconda Environment Setup and its usage

1. Numpy

● Creating arrays,Difference between List and Array

● Accessing Elements,Slicing,Concatenation

● Universal Functions, Shape Manipulation

● Automatic Reshaping,Vector Stacking.

2. Pandas

● Pandas DataStructures

● Indexing,Selecting Data, Slicing functions

● Some Useful DataFrame Functions

● Handling Missing Values in DataFrame

● Time Series Analysis

3. Data Visualization Libraries

● Matplotlib

● Plotly

● Basic Plotting with Seaborn

● Projects on Data Analysis – Google Analysis, Market Analysis

4. Sklearn usage

● Playing with Scikit-learn, Understanding classes in Scikit-learn

● Statistics in DataScience

● Basics of Probability, Statistical Distributions

● Feature Engineering

● Performing Cross-Validation, Selection and Optimization

● Pumping Up Your Hyperparameters, Implementing a Grid Search and trying a randomized search

● Overfitting, Underfitting the training data

● Simple Linear Regression

● Polynomial Regression

● Regularized Linear Models

● Ridge Regression

● Lasso Regression

● Logistic Regression

● Decision Trees

● Ensemble Learning -Bagging,Boosting

● Random Forests

● Support Vector Machines

● Lazy Learner (KNN)

● Naïve Bayes Classifier

● Clustering

● Dimensionality Reduction

● RFM Analysis

● Associative Rule Learning

• Markov Decision Process

• Building a Recommendation Engine

• Introduction, Correlation and Autocorrelation

• Simple Time Series Models

• Autoregressive Models

• Moving Average and ARIMA Model

● Credit Card Fraud Detection

● Predictive Modelling for Cricket Data Analysis

● Tokenization, Stemming, Lemmatization

● Text modelling, POS Tagging

● TFIDF and classification

● Sentiment Analysis

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Python for Data Science Certification PROJECTS

Project 1

Market Analysis

Data analysis is the process of collecting and organizing data in order to draw helpful conclusions from it. The process of data analysis uses analytical and logical reasoning to gain information from the data. In this project, we have a dataset has the data regarding goods sales, mode of transport, product details

Project 2

Credit Card Fraud Detection with User Interface

Finance fraud is a growing problem with far consequences in the financial industry and while many techniques have been discovered. As credit card transactions become a widespread mode of payment focus has been given to recent computational methodologies to handle the credit card fraud problem. We are going to analyze all the important features regarding credit card transactions and train the best model to analyze the data.

Project 1

Market Analysis

Data analysis is the process of collecting and organizing data in order to draw helpful conclusions from it. The process of data analysis uses analytical and logical reasoning to gain information from the data. In this project, we have a dataset has the data regarding goods sales, mode of transport, product details

Project 2

Credit Card Fraud Detection with User Interface

Finance fraud is a growing problem with far consequences in the financial industry and while many techniques have been discovered. As credit card transactions become a widespread mode of payment focus has been given to recent computational methodologies to handle the credit card fraud problem. We are going to analyze all the important features regarding credit card transactions and train the best model to analyze the data.

CERTIFICATION IN THIS PROGRAM

MTA Certification - Python for Data Science

Python for Data Science Certification

Training on different technologies provided by Codegnan is a set of blended learning models that brings classroom learning experience with its world-class LMS. We understand the effort of students; thus, as a token of motivation, our training is honored by top leading industries like Microsoft and HP. After the successful completion of your Python certification course, you will be awarded Microsoft MTA certification.

Can I get a job with Python for Data Science certification?

Python has emerged as the standard language and has been called the "Next Big Thing" and a "Must" for Professionals. It is quite impressive that 41 top organizations in the world have adopted Python as their primary programming language in a very small span of time. Some of the big players like Quora, Facebook, YouTube, SlideShare, Dropbox, Pinterest, Reddit, and Netflix have most of their new code written in Python.

It is an open secret in the developer world that Google has now adopted Python as its secondary coding language, and has committed to using it more in its new product offerings. With Python, you will have an open door for various career prospects like Software Engineer Python Developer Research Analyst Data Analyst Data Scientist Software Developer.

Python for Data Science Certification TRAINER/S

SAIRAM UPPUGUNGLA

7 YEARS+ EXPERIENCE IN DATA SCIENCE, DATA ANALYSIS - CEO AND FOUNDER OF CODEGNAN IT SOLUTIONS

He is a tech-expert with 7 years of industrial experience in Python, Data Analysis, Big Data, Machine Learning and NLP. He has 360 degrees of expertise in all these subjects. He is known for his practical approach to different real-time industrial problems. He is known for his great interest in helping students reach their true potential and scale greater heights. Believing in Problem-based teaching pedagogies, he left his job in Malaysia as a data engineer and came back to the newly born state to fill the void between students and the industry.

SAKETH REDDY KALLEPU

OPERATIONS HEAD AND DATA SCIENCE TRAINER CODEGNAN IT SOLUTIONS (OPC) PVT LTD

A Master in Computational Intelligence and also Data Science Consultant for Andhra Pradesh State Skill Development Corporation(APSSDC) blended with a passion for nurturing the meaning of education with technology. With expertise in Machine Learning, Data Analytics, Natural Language Processing, and Cloud Computing, he believes in teaching all functionalities to the core making his life's motto to train students to be a Data Scientist rather than a Data Engineer. With a vision of building a better society using technological innovation, he joined Codegnan to bring out and enrich the essence of Technical Education with industrial excellence. His ambition is to make Codegnan the Centre of Excellence towards LeadIndia 2020.

Python for Data Science Certification FAQs

Following aspirants can opt for Python Certification Course: Data Scientists, Programming Enthusiasts, Project Managers Software developers, Software engineers, Technical leads Architects

There are no specific prerequisites to learn Python programming. A person with less or no programming knowledge can start learning Python.

As per the quick growth of data stored previously or currently utilized by industries, Python is also growing like a rapid-fire. Because of its small codes, Python has been successfully contributing to analyzing a large number of data sets across computer clusters through its high-performance toolkits and libraries. The growth of Python can be successfully seen in industries like Machine Learning, Artificial Intelligence, Natural Language Processing & Text processing, Data Science, Big Data. Networking, and so on.

After the successful completion of your Python Certification Course, you will be a Pythonist in a real manner, MTA certification is simply a cherry on the cake, and a quick job is what you need the most.

Python programming language training's main objective for the student is to develop a foundation of programming skills up to the higher end to solve the different programming logic. A student will be able to write a different type of logic at the end of the sessions. After learning a python programming language course, the student is able to build web applications, database access, and data analysis. After completing the Python training, a student will be able to attend any MNC Company interview and can solve the technical rounds both theoretically and practically. A student is able to build web pages and host in cloud servers which can be accessed by anyone in the world.

Python is the best programming language for processing the data in various stages. Integration with any programming language. You can design a project frontend with PHP and integrate backend with python. Advanced technologies like NLP, AI, and Machine Learning are built using python. It has a collection of extensive support libraries The topmost web applications like BitTorrent, Spotify, Reddit, Bitbucket, Yahoo Maps, Youtube, etc. are built using Python Easy to learn programming language Education at CodeGnan will assure you the ability to code application by the end of the Python training.

You will get 24*7 support and lifetime access to the LMS where course material like presentations, installation guides & class recordings are available.

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