Logo
 Enroll

Enrollment Form

Become a Data Scientist

Bulid a future-ready carrer in Data Science

Maximum Salary hike

100%

Average Salary hike

70%

Hiring partners

700+

Unlock your Best career potential with 100 % job assurance program.

Data Science with Python Course in Chennai

If you're looking for a comprehensive Data Science with Python course in Chennai, Izeon IT Trainings offers a top-tier program that keeps you up-to-date with the latest trends and equips you with hands-on experience. Our Data Science training is designed for individuals who are serious about launching a successful career in this fast-growing field.

At IT Trainings , you'll receive expert instruction from seasoned data science professionals, covering everything from the basics to advanced techniques. Our well-structured curriculum ensures you gain the practical skills needed to excel in the industry. Upon completion, you will earn a professional certification, demonstrating your expertise and readiness to take on the dynamic challenges of data science.

Enroll today and start your journey toward becoming a certified data science professional with Izeon IT Trainings!

Overview of Data Science with Python

The Data Science with Python course equips you with the skills and knowledge to master Python programming for data science applications. Throughout this course, you'll explore key concepts such as data analysis, data visualization, data wrangling, feature engineering, and statistical analysis. You'll gain hands-on experience with essential tools and libraries, enabling you to process, analyze, and interpret complex datasets efficiently.

By the end of this course, you'll be proficient in utilizing Python for real-world data science projects, making data-driven decisions, and implementing machine learning techniques.

Skills Covered: Python Programming for Data Science Data Manipulation and Cleaning (Pandas & NumPy) Data Visualization (Matplotlib, Seaborn) Exploratory Data Analysis (EDA) Feature Engineering and Data Transformation Statistical Analysis and Hypothesis Testing Machine Learning Basics (Scikit-learn) Working with Large Datasets and Automation

ai

Eligibility

The need for professionals skilled in data science with Python programming knowledge has surged, making this course suitable for participants at every experience level. Whether you're an analytics professional looking to delve into Python, a software or IT professional exploring analytics, or anyone with a genuine interest in data science, this course is designed for you.

Pre-requisites

Learners need to possess an undergraduate degree or a high school diploma. Additionally, a curiosity for data analysis and a desire to explore the applications of Python in the field of data science is highly encouraged.

Data Science with Python

  • Introduction to the Course
    • Lesson 01 - Course Introduction
      • 01 Course Introduction
      • 02 What you will Learn
    • Lesson 02 - Introduction to Data Science
    • Lesson 03 - Essentials of Python Programming
    • Lesson 04 - NumPy
    • Lesson 05 - Linear Algebra
    • Lesson 06 - Statistics Fundamentals
    • Lesson 07 - Probability Distribution
    • Lesson 08 - Advanced Statistics
    • Lesson 09 - Pandas
    • Lesson 10 - Data Analysis
    • Lesson 11 - Data Wrangling
    • Lesson 12 - Data Visualization
    • Lesson 13 - End to End Statistics Application with Python

Free Course

  • Math Refresher
    • Lesson 01: Course Introduction
    • Lesson 02: Probability and Statistics
    • Lesson 03: Coordinate Geometry
    • Lesson 04: Linear Algebra
    • Lesson 05: Eigenvalues Eigenvectors and Eigen decomposition
    • Lesson 06: Introduction to Calculus

Statistics Essential for Data Science

  • Math Refresher
    • Lesson 01: Course Introduction
    • Lesson 02: Introduction to Statistics
    • Lesson 03: Understanding the Data
    • Lesson 04: Descriptive Statistics
    • Lesson 05: Data Visualization
    • Lesson 06: Probability
    • Lesson 07: Probability Distributions
    • Lesson 08: Sampling and Sampling Techniques
    • Lesson 09: Inferential Statistics
    • Lesson 10: Application of Inferential Statistics
    • Lesson 11: Relation between Variables
    • Lesson 12: Application of Statistics in Business
    • Lesson 13: Assisted Practice

Benefits of Data Science with Python

We're delighted to have you here for this Data Science program, crafted in partnership with IZEON IT TRAINING. Let's begin our exploration of the vast realm of data science together.
  • High Demand: Data Science professionals are in high demand across various industries, ensuring numerous job opportunities.
  • Competitive Salaries: Data Scientists and Analysts often command high salaries due to their specialized skills.
  • Versatility: Python is a versatile language that is widely used in data science, making it a valuable skill for various applications.
  • Comprehensive Libraries: Python offers a rich set of libraries and frameworks such as Pandas, NumPy, and Scikit-learn, which simplify data analysis and machine learning tasks.
  • Community Support: Python has a large and active community, providing extensive resources and support for learners and professionals.
  • Career Growth: Mastering data science with Python opens up numerous career advancement opportunities in fields like AI, machine learning, and big data.
  • Flexibility: Python's simplicity and readability make it an excellent choice for both beginners and experienced programmers.
  • Interdisciplinary Applications: Data Science with Python can be applied in various fields such as healthcare, finance, marketing, and more, making it a versatile career choice.
  • Problem-Solving Skills: Learning data science with Python enhances your analytical and problem-solving skills, which are valuable in any profession.
  • Innovation: Data Science drives innovation by enabling data-driven decision-making and uncovering insights that can lead to new products and services.

Data Science with Python

At Izeon IT Training, we offer flexible schedules to accommodate the needs of all our students. Below is the schedule for our Data Science with Python Classroom Training. If the provided timings do not fit your availability, please feel free to reach out, and we'll be happy to arrange an alternative that works best for you.

Date Days Time (IST) Batch Type Duration per Session Fees
10/11/24 Mon - Fri 10:00 AM Weekdays Batch 1.3 - 2 hrs Get Fees
22/11/24 Mon - Fri 10:00 AM Weekdays Batch 1.3 - 2 hrs Get Fees
22/11/24 Sat - Sun 10:00 AM Weekend Batch 3 hrs Get Fees
Benefits in IZEON
image
Free Demo Class Available
if you're looking for a demo class for a specific service or educational program, you should reach out directly to the organization or individual providing the classes.
image
Industry Expert Faculties
Industry expert faculties are individuals who bring real-world, practical experience and expertise to the educational setting.
image
100 % Job Oriented Training
Educational or training program that is designed to equip students with the skills and knowledge necessary to secure employment in a specific industry or field.
image
Certification Guidance
Certificates can be awarded for completing educational programs, training courses, or demonstrating proficiency in a particular skill or technology.

Why to Choose Us

Our courses catalogue enable individuals and teams to perform.

At Izeon IT Training, we offer flexible options to suit your schedule—classroom or online, weekday or weekend, and regular or fast track. Choose what works best for you!

Flexible timings

At Izeon IT Training, we offer competitive course fees with the added benefit of flexible installment payment options. Our goal is to provide high-quality training at an affordable price, making professional development accessible to everyone.

Affordable Fees

At Izeon IT Training, learn from industry experts and receive personalized mentorship to enhance your skills, ensuring you're ready for real-world challenges.

Corporate Expert Trainer

Izeon IT Training offers professional certification upon course completion. Additionally, our students are well-prepared to clear global certifications, with a remarkable 72% of our students opting for these certifications and achieving a 100% success rate.

Certificate

Gain hands-on experience by working on real-time projects that enhance your skills. Showcase your project work to boost your resume and increase your chances of securing your ideal job!

LIVE Project

We have established partnerships and signed MOUs with over 2000+ small and medium-sized companies, providing you with ample opportunities to kick-start and advance your career.Enrolling your employees in this course will equip them with essential data science skills, empowering them to drive innovation and enhance business performance.

Placement Support

Have queries? Speak with our Career Counselor for expert guidance on choosing the right career path for you!

Career Service : Along with upskilling and preparing you to be a solid engineer , We will help you with you job search and interview preparation as well.. "

Knowledge Progression

We're delighted to have you here for this Data Science With Python program, crafted in partnership with IZEON IT TRAINING. Let's begin our exploration of the vast realm of data science together.

Skills Covered

 Programming in Python
 Statistic and Probability
 Machine Learning
 Data Wrangling and PreProcessing
 Data Visualization
 Big Data Technologies
 Database Management
 Deep Learining
 Natural Language Processing (NLP)
 Model Deployment and Productionization
 Domain Knowledge
 Ethical and Legal Considerations
 Communication Skills


Data Analysis

Data analysis is a critical process in the field of data science that involves inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, drawing conclusions, and supporting decision-making. It encompasses various techniques and tools to understand and interpret complex data sets.

Key Steps in Data Analysis:

Popular Tools for Data Analysis:

Top 10 Data Analysis Roles and Their Salary Packages:

Data analysis is essential for making informed decisions in various industries, including finance, healthcare, marketing, and technology. By leveraging data analysis techniques, organizations can uncover trends, optimize operations, and gain a competitive edge.

Tools Covered

TCS logo Nsphere logo Usam logo IBM logo 6th Force logo Capgemini logo TCS logo TCS logo Nsphere logo Usam logo IBM logo 6th Force logo Capgemini logo TCS logo TCS logo Nsphere logo Usam logo IBM logo 6th Force logo Capgemini logo TCS logo
TCS logo Nsphere logo Usam logo IBM logo 6th Force logo Capgemini logo TCS logo TCS logo Nsphere logo Usam logo IBM logo 6th Force logo Capgemini logo TCS logo TCS logo Nsphere logo Usam logo IBM logo 6th Force logo Capgemini logo TCS logo

Roadmap for Data Science

Data Scientist
roles & responsibilities

The core role in data science, responsible for analyzing large datasets, building models, and extracting meaningful insights. Data scientists use statistics, machine learning, and programming languages like Python or R.

top company & packages

Data scientists at major tech companies (like Google, Facebook, Amazon) can often earn higher salaries, especially with stock options or bonuses.

  • Entry-level (0-2 years): ₹6,640,000 - ₹9,130,000 LP
  • Mid-level (3-5 years): ₹9,130,000 - ₹11,620,000 LP
  • Senior-level (5+ years): ₹11,620,000 - ₹14,940,000 LP

Data Analyst
roles & responsibilities

Focuses on interpreting data to provide actionable insights. This role often involves working with business teams to support decision-making.

top company & packages

Data analysts tend to earn less than data scientists, but the salary increases as the level of responsibility and expertise grows. Analysts working in specialized fields, such as finance or tech, can expect higher salaries.

  • Entry-level: ₹5,000,000 - ₹6,640,000 LP
  • Mid-level: ₹6,640,000 - ₹8,300,000 LP
  • Senior-level: ₹8,300,000 - ₹9,960,000 LP

Machine Learning
Engineer
roles & responsibilities

Specializes in designing and implementing machine learning models, often working closely with data scientists and software engineers.

top company & packages

Machine learning engineers, especially those in AI-focused roles at top tech firms, can command very competitive salaries, especially when they work on advanced models and technologies.

  • Entry-level: ₹7,470,000 - ₹9,960,000 LP
  • Mid-level: ₹9,960,000 - ₹13,280,000 LP
  • Senior-level: ₹13,280,000 - ₹16,600,000+ LP

Data Engineer
roles & responsibilities

Data Engineer: Responsible for building and maintaining the infrastructure (databases, data pipelines) needed for data collection, storage, and access.

top company & packages

Data engineers are responsible for creating the infrastructure to handle data pipelines, storage, and processing. With the growth of big data, demand for skilled data engineers is rising, leading to competitive salaries.

  • Entry-level: ₹7,055,000 - ₹9,130,000 LP
  • Mid-level: ₹9,130,000 - ₹11,620,000 LP
  • Senior-level: ₹11,620,000 - ₹14,940,000+ LP

Embark on Your Data Science Journey with Python

Data Science and Python are at the forefront of technological innovation, driving advancements in various industries. By 2025, expertise in Data Science with Python will be crucial for solving complex problems and making data-driven decisions, positioning you at the cutting edge of the tech world.

image

30%

Annual Job Growth By 2025

image

9.24K

Expected New Data Science Jobs By 2025

image

35K - 45K

Average Annual Salary

Frequently Asked Questions

What prerequisites are needed for enrolling in this Data Science with Python training course?
This Data Science with Python training course is designed for individuals with a basic understanding of programming. While prior experience in Python is beneficial, it is not mandatory. Knowledge of fundamental programming concepts like data types, loops, and functions will be helpful. A basic understanding of statistics, including mean, median, standard deviation, and probability, will also aid in grasping the material. However, the course is structured to accommodate learners at various skill levels, with guidance from instructors to ensure success.
What is the duration of the Data Science with Python training course?
The duration of the Data Science with Python training course varies depending on the program. We offer intensive bootcamps lasting several weeks as well as comprehensive courses spanning several months. Flexible learning options are available to suit different schedules and learning preferences.
Will I receive a certificate upon completing the Data Science with Python training course?
Yes, upon successful completion of the course, you will receive a certificate of completion. This certificate validates your proficiency in Data Science with Python and can enhance your resume or LinkedIn profile.
What topics are covered in the Data Science with Python training course?
The course covers a wide range of topics, including Python programming, data wrangling, exploratory data analysis, machine learning, data visualization, and model deployment. You will work with libraries such as NumPy, pandas, Matplotlib, Seaborn, and scikit-learn to analyze and interpret data effectively.
Is prior Python experience required for enrolling in the course?
While familiarity with Python is beneficial, it is not a strict requirement. The course includes introductory Python programming lessons, making it suitable for beginners as well as those with prior experience.
Will I have access to instructors during the course?
Yes, our expert instructors will provide guidance and support throughout the training. You will have access to live sessions, office hours, and one-on-one mentoring to address any doubts or challenges.
What learning resources are available during the course?
Along with live lectures and instructor support, you will get access to a variety of resources, including video tutorials, interactive coding exercises, case studies, and real-world projects to reinforce your learning.
Will I work on real-world projects in this course?
Yes, the course includes hands-on projects that simulate real-world Data Science scenarios. These projects will allow you to apply Python-based Data Science techniques and build a strong portfolio.
How will this course help me advance my career?
This course is designed to equip you with practical skills in Data Science using Python. Whether you aim to start a career in Data Science or enhance your current role, this training will provide hands-on experience and industry-relevant expertise to help you stand out in the job market.
logo

Elevate your skills with IZEON IT TRAINING, a trusted education hub boasting 17 years of experience. As your premier destination for top-quality software training in Chennai, we blend innovation and quality for an effective learning journey. Join us today and embark on a transformative path to success.

© IZEON IT TRAINING, All Right Reserved.