Software Training Institute in Chennai with 100% Placements – SLA Institute

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Data Science with Python Online Course

(1538)
Live Online & Classroom Training
EMI
0% Interest

Our Data Science with Python Online Training in Chennai will make students learn some of the most in-demand concepts in Data Science with Python such as – Environment Setup, Python Operators, OOPs Concepts, Multithreading, File Handling, GUI Interfacing etc. This curriculum will surely make students experts in the concept of  Data Science with Python in a shorter span of time. Our Data Science with Python Online Course with 100% placement support is curated with the help of leading experts from the IT industry, which makes our Data Science with Python Online Course up-to-date in accordance with the latest trends.

Our SLA Institute is guaranteed to place you in high-paying Data Scientist and other Data Science with Python related jobs with help of our experienced placement officers. SLA Institute’s Course Syllabus for Data Science with Python covers all topics that are guaranteed to give you a complete understanding of the Data Science with Python Online Course in Chennai.

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Upcoming Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
September 2024
Week days
(Mon-Fri)
Online/Offline

2 Hours Real Time Interactive Technical Training 

1 Hour Aptitude 

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

Course Fee
September 2024
Week ends
(Sat-Sun)
Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

Course Fee

Save up to 20% in your Course Fee on our Job Seeker Course Series

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Placement

100% Assistance

Learning

Job-Centered Approach

Timings

Convenient Hrs

Mode

Online & Classroom

Certification

Industry-Accredited

This Course Includes

  • FREE Demo Class
  • 0% EMI Loan Facilities
  • FREE Softskill & Placement Training
  • Tie up with more than 500+ MNCs & Medium Level Companies
  • 100% FREE Placement Assistance
  • Course Completion Certificate
  • Training with Real Time Projects
  • Industry-Based Coaching By MNC IT Professionals
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Expected Criteria for Assured Placement

The following criteria help the placement team guide the candidates to get placed immediately after the course completion through SLA Institute.

  • 80% of coursework completion helps us arrange interviews in required companies.
  • 2 or 3 projects to be done for the selected course to ace the technical round effectively.
  • Ensure attending the placement training right from the first day of the selected course.
  • Practice well with resume building, soft skill, aptitude skill, and profile strengthening.
  • Utilize the internship training program at SLA for the complete technical skills.
  • Collect the course completion certificate and update the copy to the placement team.
  • Ensure your performance indicator meets the expectation of top companies.
  • Always be ready with the updated resume that includes project details done at SLA.
  • Enjoy unlimited interview arrangements along with internal mock interviews.
Have Queries? Ask our Experts

+91 89256 88858

SLA's Distinctive Placement Approach

1

Tech Courses

2

Expert Mentors

3

Assignments & Projects

4

Grooming sessions

5

Mock Interviews

6

Placements

Objectives of Data Science with Python Online Course in Chennai

The primary objective of our Data Science with Python Online Course in Chennai is to make enrolled candidates experts in Data Science with Python. This Data Science with Python Online Course will make students grow into successful and most in-demand Data Scientists, and more. SLA Institute’s Data Science with Python Online Course Curriculum is loaded with some of the most useful and rare concepts that will surely give students a complete understanding of Data Science with Python. So, some of those concepts are discussed below:

  • To make students well aware of the foundational concepts of Data Science with Python like – Application and trends in python, Available python versions, Environmental variables and idle, Executing python from command line,Numbers, String, List etc.
  • To make students learn about Data Science with Python in a more in-depth manner by exploring topics like – Python operators, Modules in Python, Exception Handling, Tkinter etc.
  • To make students experts in advanced topics of Data Science with Python through concepts like – Python Data Operations, Python Data cleansing, Python Processing CSV Data, Python Processing JSON Data, Python Data Visualization, Python Data Analysis etc.

Scopes in the future for Data Science with Python Online Course in Chennai

The following are the scopes available in the future for the Data Science with Python Online Course: 

  • Advanced Analytics and Predictive Modeling: Using Python to develop complex models that predict future trends, improve processes, and support better decision-making.
  • Big Data Technologies: Integrating Python with big data tools like Hadoop and Spark to handle and analyze vast datasets efficiently.
  • Natural Language Processing (NLP): Applying Python for analyzing text, performing sentiment analysis, and deriving insights from unstructured data through NLP techniques.
  • Data Visualization and Dashboard Development: Leveraging Python libraries such as Matplotlib, Seaborn, and Plotly to build interactive and insightful data visualizations and dashboards.

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Project Practices on Data Science with Python Training

Project 1Fraud Detection

Design a model to detect fraudulent transactions within financial datasets.

Project 2Image Classification

Develop a model to categorize images into various types such as animals, objects, or scenes.

Project 3Real-time Traffic Prediction

Predict traffic congestion levels using both real-time and historical traffic data.

Project 4Healthcare Data Analysis

Analyze patient data to forecast health outcomes and support clinical decision-making.

Prerequisites for learning Data Science with Python Online Course in Chennai

SLA Institute does not demand any prerequisites for any course at all. SLA Institute has courses that cover everything from the fundamentals to advanced topics so whether the candidate is a beginner or an expert they will all be accommodated and taught equally in SLA Institute. However having a fundamental understanding of these concepts below will help you understand Data Science with Python better, However it is completely optional:

  • Fundamental Mathematics and Statistics: A solid grasp of basic math concepts, including algebra (such as linear equations and functions) and statistics (like probability distributions, statistical tests, and data analysis methods), is essential.
  • Programming Knowledge: Proficiency in Python is vital, as it’s the main language used for data science tasks. Familiarity with Python libraries such as NumPy, pandas, and scikit-learn is also crucial, while having basic knowledge of R can be an additional asset.
  • Data Analysis Basics: Skills in managing and cleaning data are necessary, including using SQL for querying databases. The ability to perform exploratory data analysis (EDA) to identify patterns and relationships in data is also required.
  • Computer Science Basics: An understanding of algorithms and data structures, such as sorting and searching algorithms, arrays, lists, and trees, is useful for solving data science problems effectively.

Our Data Science with Python Online Course in Chennai is apt for:

  • Students eager to excel in Data Science with Python
  • Professionals considering transitioning to Data Science with Python careers
  • IT professionals wanting to enhance their Data Science skills
  • Data Scientists who are looking forward to expanding their expertise.
  • Individuals searching opportunities in the Data Science with Python field.

Job Profile for Data Science with Python Online Course in Chennai

After finishing the Data Science with Python Online Course in Chennai, students will be placed in various organizations through SLA Institute. This section will explore the various range of job profiles in which students can possibly be possible be placed as in the Data Science with Python  sector; 

  • Data Scientist: Data Science with Python Online Course will train students into successful Data Scientist who evaluate and interpret intricate data sets to support organizational decisions, develop predictive models, and carry out statistical analyses.
  • Machine Learning Engineer: Data Science with Python Online Course will turn students into skilled Machine Learning Engineer who design, build, and implement machine learning models and systems, focusing on optimizing and scaling these models for production.
  • Data Analyst: Data Science with Python Online Course will make students into Data Analysts who gather, process, and analyze data to generate actionable insights, and create visual reports and dashboards.
  • Business Intelligence (BI) Developer: The SLA Institute will provide students with enough resources that it will train students to become a successful Business Intelligence (BI) Developer who develops and maintains BI tools and solutions, including dashboards and reports, to aid in data-driven decision-making.
  • Data Engineer: The SLA Institute will turn students into skilled Data Engineers who construct and manage data pipelines and databases, ensuring data integrity and accessibility for analysis.
  • Quantitative Analyst (Quant): The SLA Institute will make students into Quantitative Analysts who utilize mathematical models and statistical methods to analyze financial data for risk management, trading strategies, and investment analysis.
  • Artificial Intelligence (AI) Specialist: Develop and deploy AI technologies and solutions, focusing on areas such as natural language processing, computer vision, and robotics. 
  • Software Developer: Create, develop, and manage software applications and systems.
  • Research Scientist: Conducting research to create new algorithms and techniques in data science and machine learning, and contribute to academic publications. 
  • Operations Analyst: Applying data analysis to enhance business operations, optimize processes, and improve efficiency.
  • Game Developer: Python facilitates game development through libraries and frameworks like Pygame and Panda3D, which help in creating, designing, and managing game components and logic.
  • Marketing Analyst: Analyzing marketing data to assess campaign effectiveness, customer behavior, and market trends, providing insights for strategy optimization.
  • Healthcare Data Analyst: Analyzing healthcare data to aid in clinical decision-making, improve patient outcomes, and enhance healthcare operations.
  • Product Data Analyst: Evaluating product performance, customer feedback, and market trends to inform product development and strategy.

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The Placement Process at SLA Institute

  • To Foster the employability skills among the students
  • Making the students future-ready
  • Career counseling as and when needed
  • Provide equal chances to all students
  • Providing placement help even after completing the course

Data Science with Python Course FAQ

How does feature engineering affect machine learning model performance in Python?

Feature engineering involves the creation and modification of features to enhance the performance of machine learning models. Effective feature engineering can improve model accuracy, reduce overfitting, and make the model more interpretable by providing the algorithms with more relevant and informative data.

What benefits do ensemble methods provide in data science with Python?

Ensemble methods, like Random Forests and Gradient Boosting, combine multiple models to boost predictive accuracy and robustness. They work by aggregating the predictions of several models, which helps in reducing variance, bias, and improving overall model performance.

How does Python handle missing data in datasets?

Python offers several techniques for managing missing data, such as using libraries like pandas for imputation (e.g., filling in missing values with mean, median, or mode), or employing algorithms that can handle missing values directly. Handling missing data appropriately ensures that the integrity of the analysis is maintained and helps improve model performance.

What distinguishes regression tasks from classification tasks in data science?

Regression tasks focus on predicting continuous outcomes, such as numerical values like house prices or temperature, while classification tasks aim to predict discrete categories or classes, such as identifying whether an email is spam or not. The distinction between regression and classification depends on whether the target variable is continuous or categorical.

Where is the corporate office of the SLA Institute located?

The SLA Institute’s corporate office is located in the K.K.Nagar branch.

Is there an EMI option available in the SLA Institute?

Yes, the SLA Institute does indeed offer EMI in payments with 0% interest,

How hard is it to learn Data Science with Python Course in Online mode?

Learning the Data Science with Python Course in Online mode can be easy if students become completely dedicated and interested towards the course by cooperating with our instructors,  completing the projects on time and maintaining proper attendance. 

How long is the Data Science with Python Online Course?

The Data Science with Python Online Course is 4 months long.

On Average Students Rated The Data Science with Python Course 4.70/5.0
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