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

Data Science With Python Online Training

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Our Data Science With Python Online Training programs are designed for students, freshers, and working professionals who want to upskill and stay relevant. We offer Data Science With Python Online Courses that are practical, interactive, and aligned with the latest industry demands. Our Data Science with Python Syllabus Covers the Python fundamentals, data manipulation with Pandas, numerical computing with NumPy, data visualization with Matplotlib and Seaborn, statistical analysis, and implementing machine learning models with scikit-learn. Enroll now and learn from industry experts with flexible timings and get Job support.

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Syllabus of Data Science With Python Online Course

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  • A brief history of python
  • Application and trends in python
  • Available python versions
  • Getting and installing python
  • Environmental variables and idle
  • Executing python from command line
  • I/o
  • Naming conventions
  • Datatypes:
  • Numbers
  • String
  • List
  • Tuple
  • Dictionary
  • Set
  • List, Tuple, Dictionary, Set Methods
  • Statements: If, elif, Break, Continue
  • Loops: For loop, while loop
  • Functions
  • Class and objects
  • Getters and setters
  • Properties
  • Inheritance
  • Polymorphism
  • Special Functions of Python: Lambda, Map, Reduce, Filter
  • Math
  • Arrow
  • Geopy
  • Beautiful soup
  • Numpy
  • Sys
  • Os
  • Introducing threads and life cycles
  • Priorities
  • Dead Locks
  • Errors
  • Runtime errors
  • Exceptional model
  • Exceptional hierarchy
  • Handling multiple exception
  • Raise exceptions
  • Text files
  • Csv files
  • Simple character matches
  • Flags, quantifers, greedy matches
  • Grouping and matching objects
  • Matching at beginning or end
  • Substituting and splitting a string
  • Compiling regular expressions
  • Widgets
  • Integrated application
  • Mysql/with application
  • Converting .exe
  • pandas
  • numpy
  • scipy
  • matplotlib
  • Python Data Operations
  • Python Data cleansing
  • Python Processing CSV Data
  • Python Processing JSON Data
  • Python Processing XLS Data
  • Python Relational databases
  • Python NoSQL Databases
  • Python Date and Time
  • Python Data Wrangling
  • Python Data Aggregation
  • Python Reading HTML Pages
  • Python Processing Unstructured Data
  • Python word tokenization
  • Python Stemming and Lemmatization
  • Python Chart Properties
  • Python Chart Styling
  • Python Box Plots
  • Python Heat Maps
  • Python Scatter Plots
  • Python Bubble Charts
  • Python 3D Charts
  • Python Time Series
  • Python Geographical Data
  • Python Graph Data
  • Python Measuring Central Tendency
  • Python Measuring Variance
  • Python Normal Distribution
  • Python Binomial Distribution
  • Python Poisson Distribution
  • Python Bernoulli Distribution
  • Python P-Value
  • Python Correlation
  • Python Chi-square Test
  • Python Linear Regression

Objectives of Data Science With Python Online Course

Our Data Science with Python Online Training has the most recently updated Data Science with Python syllabus. The syllabus is curated by our experts from the IT industry while bearing in mind the recent trends in the IT industry. The syllabus covers everything from basic to advanced topics some of those topics are briefly discussed below:

  • The syllabus begins with basic topics such as, Introduction to Data Science, Machine Learning, Deep Learning, Artificial Intelligence, Python, Statistics, Algorithms.
  • The syllabus then explores Data Science, Machine Learning, Deep Learning, Artificial Intelligence, Python, Statistics, Algorithms a bit deeper
  • The syllabus then goes and explores Data Science, Machine Learning, Deep Learning, Artificial Intelligence, Python, Statistics, Algorithms and related topics in an advanced and much deeper level.
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Highlights of Data Science With Python Online Course?

Data science encompasses extracting insights from data through processes like cleaning, analysis, visualization, and interpretation. Python, renowned for its simplicity, versatility, and vast library ecosystem tailored for data analysis and machine learning, stands out as a top choice in this field.

The following are the reasons for learning Data Science with Python:

  • Ease of Learning: Python’s language structure is easy to understand, making it great for beginners, even those without coding experience, to start learning data science quickly.
  • Community Support: Python has a big group of developers and data experts who share help and knowledge online, making it simple for data scientists to get assistance and collaborate on projects.
  • Industry Adoption: Many different types of companies, from tech to healthcare, use Python for data tasks, offering lots of job chances for data scientists who know Python well.

SLA does not demand any prerequisites for any courses as all the courses cover topics from fundamental to advanced level. However having a basic knowledge on these below topics can be beneficial in learning the Data Science with Python easily:

  • Python Proficiency: You should have a basic understanding of Python programming, knowing about things like different data types, how to control the flow of a program, writing functions, and using libraries.
  • Data Analysis and Visualization Skills: You need to know how to analyze data and present it visually, using techniques to explore data effectively.
  • Understanding Machine Learning Basics: You should be familiar with the basics of machine learning, knowing concepts like supervised learning, unsupervised learning, and how to measure the performance of models.

Our Data Science with Python Course is suitable for: 

  • Students
  • Job Seekers
  • Freshers
  • IT professionals aiming to enhance their skills
  • Professionals seeking career change
  • Enthusiastic programmers

The Data Science with Python course fees depend on the program level (basic, intermediate, or advanced) and the course format (online or in-person).On average, the Data Science with Python course fees come in the range of ₹65,000 to ₹75,000 INR for 4 months, inclusive of international certification. For some of the most precise and up-to-date details on fees, duration, and certified Data Science with Python certification, kindly contact our Best Placement Training Institute in Chennai directly.

The following are some of the jobs related to Data Science with Python:

  • Data Analyst
  • Data Scientist
  • Machine Learning Engineer
  • Data Engineer

The Data Analyst freshers salary typically with around less than 1 year of experience earn approximately ₹3-4 lakhs annually. For a mid-career Data Analyst with around 3 years of experience, the average annual salary is around ₹5-6 lakhs. An experienced Data Analyst with more than 5 years of experience can anticipate an average yearly salary of around ₹8-9 lakhs. Visit SLA for more courses.

Here are several real time Data Science with Python applications:

  • Predictive Analytics for E-commerce
  • Sentiment Analysis on Social Media
  • Image Recognition System
  • Customer Churn Prediction

Boost your skills with Data Science With Python Online Course with Experts

Our Mentors are from Top Companies like:

The following are our trainer’s profile for the Data Science with Python Online Training:

  • Our instructors possess over a decade of expertise in Data Science and Python programming.
  • They have extensive experience in application development, web programming, and analytical algorithm creation.
  • They offer valuable insights into crafting predictive data models and adhere to industry-standard practices.
  • Numerous workshops led by them have delved into Data Science complexities, delivering comprehensive software overviews.
  • Leveraging advanced data processing techniques, they guide students through challenges in analysis, visualization, predictive modeling, and programming.
  • They teach problem-solving with Python libraries, fostering hands-on experience across various scientific domains.
  • Tailoring course content to individual needs, they provide feedback for enhanced learning outcomes.
  • They ensure thorough comprehension of each session’s content, fostering student understanding.
  • With unwavering support, they guarantee an exceptional learning journey.
  • Their proficiency ensures students meet training objectives, becoming skilled users of Data Science and Python programming.
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Explore Real Projects Built by Softlogic Students

Explore the real-world, enterprise-level projects designed and executed by our successful alumni. Gain the same hands-on exposure to live industry projects, build a standout portfolio, and prove your practical skills to top hiring managers instantly.
Fraud Detection in Credit Card Transactions
Text Generation with Recurrent Neural Networks
Energy Consumption Forecasting
Project Practices for Data Science With Python Online Course

Why Softlogic Systems is the Best Choice for Data Science With Python Online Course

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The Global Edge: Certified Vs. Uncertified

With Global Certification

  • ✅ Visibility in ATS Filters
  • ✅Command Higher Hikes
  • ✅ Verified Skill Proof
  • ✅Global Job Access
  • ✅ Fast-Tracked Senior Roles

Without Global Certification

  • ❌ Stuck in Screening
  • ❌ Lower Starting Pay
  • ❌ Unproven Technical Ability
  • ❌ Limited Local Scope
  • ❌ Slower Career Leader
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The SLA Way to Get Placed

The SLA Way to Get Placed

Seven connected stages, one continuous path from enrollment to your career launch — here is exactly how it works, step by step.

01
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Technical Mastery

Industry-aligned curriculum, daily coding tasks, real-time projects

02
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Career Readiness

Aptitude, Communication, ATS-friendly resume optimization

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Placement Prep

Aptitude, communication tuning and technical interview mastery.

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Panel Mock Interviews

Real company-pattern mocks with expert panel feedback.

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Interview schedule

Multiple company drives with lifetime placement support.

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Interview Feedback

Detailed performance analysis and one-on-one guidance.

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FAQ

SLA has two branches one is in Navalur, OMR and another is in K.K. Nagar.

SLA’s OMR branch is located in OMR’s IT hub where are a lot of IT companies are located, this gives SLA’s OMR branch intense credibility

Yes, SLA does indeed provide EMI options for its students with 0% interest.

SLA has specialized HR personnel who will look into students’ issues.

Yes, SLA has trainers who are experienced in both IT and teaching skills.

You can handle missing data by deleting rows with missing values, filling them with a certain value like the average, or using more advanced methods like imputation or interpolation.

You can evaluate a model’s performance using different measures like accuracy, precision, recall, F1-score, ROC-AUC curve, and mean squared error (MSE) for regression tasks. Python libraries such as Scikit-learn have functions to calculate these measures.

You can put a machine learning model into action by saving it as a file (like a pickle file) and then using it in an application or online service with frameworks like Flask or Django. Another option is to deploy models on cloud platforms such as AWS, Azure, or Google Cloud using their machine learning services.

Feature selection methods include checking for correlations, importance, or using algorithms like LASSO regression. For reducing the complexity of the data, techniques like Principal Component Analysis (PCA) or t-distributed Stochastic Neighbor Embedding (t-SNE) can help.

You can tweak the settings, known as hyperparameters, by trying out different values with techniques like grid search, random search, or Bayesian optimization. Libraries like Scikit-learn and Hyperopt offer tools for this task.

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