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Certification in Python for Data Analytics

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Course Enquiry


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Course Description

The Python for Data Analytics course aims to equip students with the foundational skills in Python needed to analyze and interpret data effectively using Python. Participants will learn to manipulate, clean, and visualize data using popular libraries like Pandas, NumPy, and Matplotlib. The course emphasizes practical, hands-on experience in solving real-world data problems, including exploratory data analysis and basic statistical methods. Additionally, learners will understand how to apply Python for building predictive models using machine learning techniques. By the end of the course, students will have the confidence to handle data-driven tasks and make informed decisions in various industries. Our Offerings: Expert Trainers: Live guided online training from expert and experienced trainers from Data Science domain. Project Based Learning: We take project based practical learning approach with the examples from industry. Query Solving: Your queries will be solved by the trainers. Class Recordings : You will receive class recordings of every class. Certification: You will receive globally valid Certification in Python for Data Analytics from Techcraft.

Upcomming Batches


Batch Date : 01 Feb 6:00 to 9:00

Duration : (8 Weeks) Only Saturday

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Trainer

Ranjit Kate

Professional Trainer

Ranjit Kate is a renowned for his unique teaching style which focuses on practical teaching. He has conducted 500 plus live online training in India and internationally.He has experience of 12 plus years into Data Analysis,Finance,Taxation and MIS reporting training.He has also conducted many corporate trainings globally.He is Microsoft Certified Power BI Data Analyst.

Features

Expert and Experienced Trainers

Learn from expert and experienced faculty in Data Science and Data Analytics

Get Certified

Get Certification in Python for Data Analytics

Session Recordings

Get sessions recordings.


Learn Numpy, Pandas, Matplotlib & Seaborn

Learn Numpy, Pandas, Matplotlib, Seaborn and Intro to ML

Boost Analytics Skills

Boost your Advanced Analytics and Visualization Skills.

Boast your career in Analytics

Give a robust growth to your career by learning Python for Data Analytics.


Certification

Excel_Live_Certificate

Reviews

user

Malay pande Posted on 15 Jun 2024


Excellent classes

user

Saravanaraman Velchamy Posted on 04 Mar 2024


The course has been designed in well-structured and the instructor have good knowledge of the subject matter.

Curriculum

Introduction to Python Programming:

1.Introduction to Python Programming:

Course Introduction Python Basics, Variables and Data Types Lists, Tuples, Sets, and Dictionaries Functions and Modules Basic Input/Output, Error Handling and Debugging

2.Working with Data Structures:

List Comprehensions Control Structures (if statements, loops) Working with Strings Introduction to Object-Oriented Programming

NumPy,Pandas,Matplotlib and Seaborn:

1.NumPy for Numerical Computing:

Introduction to NumPy Arrays and Array Operations Indexing, Slicing, and Iterating Mathematical Functions Random Number Generation Working with Matrices

2.Data Manipulation with Pandas:

Introduction to Pandas Series and Data Frames, Reading and Writing Data Data Cleaning, Handling Missing Data, Data Transformation Merging and Joining Data Frames

3.Data Analysis with Pandas:

Descriptive Statistics Grouping and Aggregating Data Pivot Tables and Cross-tabulations, Time Series Analysis

4.Data Visualization with Matplotlib and Seaborn:

Introduction to Matplotlib, Basic Plotting Customizing Plots, Subplots and Layouts Introduction to Seaborn, Statistical Plots Categorical Plots Visualizing Linear Relationships

Introduction to Machine Learning:

1.Introduction to Machine Learning :

Overview of Machine Learning and Applications, Types of ML (Supervised, Unsupervised, and Reinforcement Learning), Regression vs. Classification Linear Regression Basics Understanding the Linear Regression Algorithm, Assumptions, Model Training, Testing, and Validation Hands-On with Linear Regression Implementing Linear Regression, Evaluating Model Performance, Tuning and Interpreting the Model

Capstone Project: Real-World Data Analytics Project:

1.Capstone Project:

Project Introduction Data Collection and Preparation Data Analysis and Visualization Presenting Results Final Project Submission

FAQs

Will you learn from basic to advanced techniques of Python for Data Analytics?

Yes, you will fundaments of Python, Data Analytics libraries like Numpy, Pandas, Matplotlib, Seaborn and Introduction to Machine Learning.

Are the faculties expert?

Faculties are very experienced and experts in Data Science domain and will surely help you to learn Python properly.

Which certificate you will get on course completion?

After course completion you will get Certification in Python for Data Analytics

Will you get access to session recordings?

We will mail you link of session recording which will be available for 90 Days.You need to download recording if you want it for lifetime.

What are the system requirements?

Your computer should have minimum 4 GB RAM and i3 processor or any other processor with better performance.

What are internet speed requirements to attend live online lecture?

Use internet with good speed (Download speed : more than 15 mbps, Upload speed : more than 3 mbps) ( Do no use mobile hot spot or dongle.)

Batch Date : 01 Feb 6:00 to 9:00

Duration : (8 Weeks) Only Saturday

Register

Register for Demo

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