Data Science with Python Course

Kickstart your Python journey with this beginner-friendly course, designed to help you learn Python for data science and programming fundamentals. In just a few hours, you’ll progress from zero experience to writing Python scripts confidently.

Why Python for Data Science is Important to Learn?

High Demand Across Industries: Python is one of the most in-demand programming languages in the field of data science. Finance, healthcare, e-commerce, and technology are some of the industries that use Python to make data-driven decisions.
Growing Job Opportunities: Companies around the world are focusing on data analytics, and this is generating a high number of job openings for professionals skilled in Python.
Competitive Salaries: Entry-level Data Analysts draw between $60,000–$90,000 per year in the US and experienced Data Scientists draw $120,000–$160,000 per year. In India, beginners can make around ₹6,00,000 per year and experienced professionals make ₹20,00,000+ per year.
Diverse Career Paths: Jobs can be either Data Analyst or Data Scientist, Machine Learning Engineer, or Chief Data Officer (CDO) among others

Course Highlights

About Python for Data Science Online Training

Our Data Science with Python Course is designed to make learners capable of handling the core concepts for easier data analysis, visualization, and modeling. Among other topics it includes: Data Science with Python Course

Basic Python Programming: covering key concepts like variables, loops, functions, and object-oriented programming.
Core Data Science Libraries: acquisition of necessary skills using Pandas, NumPy, Matplotlib, and Scikit-learn.
Data Wrangling and Preprocessing: cleaning up, transforming and analyzing real-world datasets.
Machine Learning & AI– Understanding the basic algorithms in machine learning, NLP, and deep learning techniques
Capstone Projects– Industry-driven projects to ensure application of learned knowledge to actual real-world problem statements

After completing this Python for Data Science Training, participants will be well-prepared for roles like Data Analyst, Data Scientist, and Machine Learning Engineer.

Python for Datascience Upcoming Batches & Fees

Online Classroom

Self-paced Learning

Corporate Training

Online Classroom

Self-paced Learning

Corporate Training

Curriculum

Module 1: Python Fundamentals

Introduction to Python
Why Python for Data Science?
Setting up Python Environment (Anaconda, Jupyter Notebook, VSCode)
Python Basics
Variables, Data Types, and Operators
Control Flow: if-else, loops
Functions and Modules
Data Structures
Lists, Tuples, Dictionaries, and Sets
List and Dictionary Comprehensions

Module 2: Data Manipulation

NumPy
Arrays and Array Operations
Mathematical and Statistical Operations
Broadcasting and Vectorization
Pandas
DataFrames and Series
Reading and Writing Data (CSV, Excel, SQL, etc.)
Data Cleaning and Preprocessing
Handling Missing Data
Merging, Joining, and Concatenation

Module 3: Data Visualization

Matplotlib
Basic Plotting
Customizing Plots (labels, legends, titles)
Subplots and Layouts
Seaborn
Statistical Data Visualization
Heatmaps, Pairplots, and Categorical Plots
Plotly (Optional)
Interactive Plots
Dashboards

Module 4: Statistical Analysis

Descriptive Statistics
Measures of Central Tendency and Dispersion
Probability and Distributions
Normal Distribution, Binomial Distribution
Inferential Statistics
Hypothesis Testing (t-test, chi-square test)
Confidence Intervals

Module 5: Machine Learning Basics

Introduction to Machine Learning
Supervised vs Unsupervised Learning
Overview of Algorithms
scikit-learn
Data Splitting (train-test split)
Linear Regression
Classification (Logistic Regression, Decision Trees)
Clustering (K-Means)

Module 6: Advanced Topics

Time Series Analysis
Working with Dates and Times
Time Series Forecasting
Natural Language Processing (NLP)
Text Preprocessing
Sentiment Analysis
Big Data Frameworks (Optional)
Introduction to PySpark
Distributed Data Processing

Module 7: Capstone Project

Project Definition
Select a Real-World Dataset
Define Goals and Objectives
Data Preprocessing
Cleaning and Transformation
Exploratory Data Analysis (EDA)
Visualizations and Insights
Modeling and Evaluation
Build and Evaluate Models
Present Findings

Why Python for Datascience Training with Etekkis?

Instructor-Led Training

Learn from industry experts
Real-time guidance for seamless learning.
Interactive sessions for doubt clearing

Hands On Project Based Learning

32+ hours of live training
Quizzes and assignments to make concepts even stronger
Real-life projects to enhance the portfolio

Lifetime Access to Course Material

Lifetime access to study material and recorded sessions.
Fresh updates of course content absolutely free.
Unlimited Learning Opportunities Anytime

Industry-Recognised Certification

Professional certification of expertise
Performance-based assessments of progress
Globally recognized certification to open better career prospects.

Comprehensive Job Support

Resume development & optimization to get more interview calls
Mock interviews & preparation by experts
Placement support & job referrals

Industry Relevant Curriculum

Current content with the latest data science trends
Hands-on learning using real-world business cases
Modules curated by experts to be used in practice.

Projects

Project 1: Exploratory Data Analysis (EDA) on a Dataset using Tools: Pandas, Matplotlib, Seaborn
Project 2: Basic Data Cleaning and Preprocessing using Pandas, NumPy
Project 3: COVID-19 Data Visualization using tools like Pandas, Matplotlib, Plotly
Project 4 : Real-Time Data Pipeline and Analysis using tools like Kafka, Spark, Pandas

Reviews

John D

The Python for Data Science course at ETekkis was clear and hands-on. It gave me the confidence to work on real-world data projects.

Sarah M

Great course for beginners! It helped me understand Python and data analysis concepts through engaging exercises.

Alex T

I loved the course! It taught me both the basics and advanced techniques like machine learning in a simple way.

Emily W

The course was well-structured and practical. It helped me build the skills needed to pursue a career in data science.

Etekkis Certification

An industry-recognized certificate is issued after successful completion of our Python for Data Science Online Training.

What is the Etekkis Certification, and how does it benefit me?

Training in Python for Data Science would cover data analysis, visualization, machine learning, and statistical modeling in Python. Major libraries used are Pandas, NumPy, Matplotlib, and Scikit-learn.

How can I obtain the Etekkis Certification?

To earn the Etekkis Certification, you must complete the training program, successfully finish all hands-on projects, and pass the assessment exam. Our certification is performance-based, ensuring that you gain practical skills required for real-world applications. Once certified, you can showcase your achievement on your resume, LinkedIn profile, and job applications to improve your career prospects

FAQs

What is Python for Data Science training?

Do I need prior programming experience?

No, our Data Science with Python Course Online Training is beginner-friendly. We start with Python basics and progress to advanced concepts step by step.

What skills will I learn?

You will gain proficiency in:

Data manipulation & visualization using Pandas and Matplotlib.
Statistical analysis & machine learning using Scikit-learn.
Working with real-world datasets to extract meaningful insights.

How long does it take to complete the course?

The course duration varies:

Self-paced courses: A few weeks to a few months.
Instructor-led sessions: Typically 8-12 weeks.

What are the prerequisites for taking this course?

No prior experience is required. However, a basic understanding of high school mathematics and computers will be beneficial.

Is there any certification after completing the course?

Yes! Our Data Science with Python Course in Hyderabad provides an industry-recognized certificate upon completion. This certificate strengthens your resume and job prospects.

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Data Science with Python Course

Why Python for Data Science is Important to Learn?

Course Highlights

About Python for Data Science Online Training

Python for Datascience Upcoming Batches & Fees

Online Classroom

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Weekday (Tue-Sat)

Self-paced Learning:

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Curriculum

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Why Python for Datascience Training with Etekkis?

Instructor-Led Training

Hands On Project Based Learning

Lifetime Access to Course Material

Industry-Recognised Certification

Comprehensive Job Support

Industry Relevant Curriculum

Projects

Reviews

John D

Sarah M

Alex T

Emily W

Etekkis Certification

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