Data Science Online Training

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Softlogic Course Duration


4 to 8 months

Softlogic Training Mode


Live Online / Offline

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Explore your great career through our Online Data Science Training at Softlogic. We provide industry-standard coaching with best practices on real-time projects. Gain exact field expertise and industry-valued certification in our Online Data Science Training Institute with 100% Placement Assistance.

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What this Course Includes?

  • Technology Training
  • Aptitude Training
  • Learn to Code (Codeathon)
  • Real Time Projects
  • Learn to Crack Interviews
  • Panel Mock Interview
  • Unlimited Interviews
  • Life Long Placement Support

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Monday (Monday - Friday)

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Wednesday (Monday - Friday)

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Modes Of Training


Offline / Classroom Training

  • A Personalized Learning Experience with Direct Trainer Engagement!
  • Direct Interaction with the Trainer
  • Clarify doubts then and there
  • Airconditioned Premium Classrooms and Lab with all amenities
  • Codeathon Practices
  • Direct Aptitude Training
  • Live Interview Skills Training
  • Direct Panel Mock Interviews
  • Campus Drives
  • 100% Placement Support

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Online Live Training

  • Instructor Led Live Training! Learn at the comfort of your home
  • No Recorded Sessions
  • Live Virtual Interaction with the Trainer
  • Clarify doubts then and there virtually
  • Live Virtual Interview Skills Training
  • Live Virtual Aptitude Training
  • Online Panel Mock Interviews
  • 100% Placement Support

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Corporate Training

  • Blended Delivery model (both Online and Offline as per Clients’ requirement)
  • Industry endorsed Skilled Faculties
  • Flexible Pricing Options
  • Customized Syllabus
  • 12X6 Assistance and Support

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Want to Master your Skills in Data Science ?

Course Highlights


We offer the best Data Science Online Course to make learners equipped with Python, Hadoop, Tableau, R, SAS, Machine Learning, Artificial Intelligence, NLP, Robotics, Big data, Mathematics, Statistics, and Scientific Methods used for retrieving useful insights from gathered raw data. Our Online Data Science Training is offered with updated tools and techniques used currently in the industries and our placement assistance is offered as per the in-demand profiles. Enhance your fundamental skills of any domain through our Online Data Science Course.

The main objective of our Online Data Science Training is to equip the learners with the ability to simplify big data through coding and algorithms to derive a problem-solving solution for global businesses. It is the hottest career in the IT field and the young generation around the world are interested to become data analysts, data scientists, data engineers, AI professionals, ML experts, and Cybersecurity professionals, and so on. Step into the brightest career through Softlogic Systems, the best Online Data Science Training Institute. Following are the reasons why the data science field can bring you a futuristic career with exponential growth for learners.

  • Digitalization of global companies is generating a big amount of data through their customers.
  • Big data generation around the world creates a huge scope of data analytics
  • Organizations find it is easy to manage and interpret data extracted from their services.
  • Utilization of software tools and technologies like Java, Python, Hadoop, and Tableau.
  • Any undergraduates with basic business skills can learn and master Data Science skills.
  • Popular sectors like healthcare, transport, and e-commerce are adopting data science.

The learning of Online Data Science Course at Softlogic helps the candidates to gain expertise in the implementation of quantitative modeling, data analysis techniques, data visualization processes, and programming languages to discover the solution for various real-world problems of organizations. The students will have enhanced knowledge of key technologies in data science and business analytics such as data mining, predictive modeling, machine learning, statistics, artificial intelligence, and critical thinking that help them assist in the decision-making process of global companies. Enjoy the learning benefits at Softlogic through hands-on practices, comprehensive coursework, project implementations, industry-worth certifications, research experiences, and placement assistance in our Online Data Science Training Course. Following are the learning outcomes that you can obtain at the end of our Online Data Science Course.

  • Ability to implement quantitative modeling and data analysis techniques for bringing solutions to real-world problems like communicating findings and presenting results.
  • Identify and analyze business-related ethical issues for the safety of intellectual property, data integrity, privacy, and data security.
  • Implement everyday business activities for well-reasoned data management decisions.
  • Able to explain statistical data analysis techniques for business-oriented decision-making.
  • Implement the best principles of data science to analyze various business problems.
  • Utilization of data mining software to resolve real-world problems.
  • Utilize cutting-edge data science tools and technologies that will fit exactly for big data analytics.
  • Implement algorithms for developing machine learning processes and artificial intelligence.
  • Industry-ready job skills such as teamwork, leadership skills, organizational theory, and decision-making practices.

Our Online Data Science Training with 100% Placement Assistance makes you an expert with industry-ready skills to work in data analytics, data visualization, and data security along with DS-related jobs.

  • Industry-standard Coursework
  • One-on-one or Small batch size
  • Instructor-led live online mode
  • Customizable course curriculum
  • Industry-valued Certificate
  • 4+ real-time project practices
  • Instalment Options for fees
  • Field Expertized Trainers
  • Convenient learning hours
  • Free soft skills training
  • 100% Placement Assistance
  • Free Lifetime Career Guidance

There is no prior knowledge required for learning Online Data Science Course for freshers as we offer them the course from scratch. Our Data Science Course trainers will be allocated as per the convenient learning hours of students around the world and it can be regular classes or weekend classes or fast-track mode. We suggest working professionals have the following prerequisites to enjoy the complete hands-on experience on the updated Data Science concepts.

  • Basic knowledge of programming languages
  • Fundamental understanding of manual data processing.
  • Basic skills in business acumen and decision-making process.

Freshers and working professionals can learn Cloud Computing Course Online at Softlogic as we are providing in-person classes along with other training modes for the students who want to study in our Cloud Computing Training Institute in Chennai. It is beneficial for the students to launch their careers in Information Technology, Business, and Other Cloud-Related Industries. Following are the eligible category for learning Cloud Computing Online Training Course at Softlogic.

  • Freshers with a degree in BBA, B.Sc/M.Sc Maths, MBA in Finance, Accounting, Statistics, Commerce, Banking, and any Engineering specialization.,
  • Working professionals with experience in IT or non-IT fields like tech support, BPO, or process associate.

Data Science is making remarkable in various industries and the companies are witnessing that the utilization of data science processes brings massive ROI through tools and technologies such as Machine Learning, Python, Java, Artificial Intelligence, and Natural Language Processing, etc. It generates tremendous job opportunities for skilled and certified data science professionals to perform various tasks to retrieve meaningful insights. Learn the best Data Science Online Course with 100% Placement Assistance at Softlogic. Check out the following factors to prove that the launching of a career in data science gives a promising future for global aspirants.

  • Multiple Job Profile Options such as Data Scientist, Data Analyst, Research Analyst, Business Analyst, Big Data Engineer, Analytics Manager, and so on.
  • Business Organizations will know how and when their products are to be sold by knowing the marketing trends and requirements. It helps businesses with accurate decision-making.
  • Highly paid jobs with tremendous career opportunities. According to the survey, the average salary of Data Science Professionals is around $106,000 Per Annum.
  • Quickly hiring benefits that the CVs of data science professionals can be hired easily as they will be looking best candidates for the required jobs descriptions with multiple skills.

Our Data Science Online Training Course helps the professionals to get involved for management and industry leaders in their decision-making process. We will train the students with the ability to challenge their staff to focus on the exact issues for adopting the best practices wisely, take direct actions according to trends for defining goals, identify opportunities for data-driven evidence, test the decisions by identifying the target audiences, and recruit the right talent for the organizations. By the end of our Online Data Science Course, the learners can able to apply for the following positions.

  • Data Scientist
  • Data Analyst
  • Data Engineer
  • Data Architect
  • Data Storyteller
  • Machine Learning Scientist
  • Machine Learning Engineer
  • Business Intelligence Developer
  • Database Administrator
  • Technology Specialized Roles

Our Online Data Science Course Certification adds value to your resume as it is globally recognized for its quality and performance. It validates your data science skills through a performance tracker and our trainers and placement coach will improve the areas to be focused on. We provide Data Science Course Completion Certification at the end of the online course and we update them in our placement portal for the companies’ reference. Enroll in our Online Data Science Training Institute today to get the learning and career benefits.

Want to Master your skills in Data Science ?

Data Science Syllabus

Download Syllabus
  • Introduction to Data Analytics
  • Introduction to Business Analytics
  • Understanding Business Applications
  • Data types and data Models
  • Type of Business Analytics
  • Evolution of Analytics
  • Data Science Components
  • Data Scientist Skillset
  • Univariate Data Analysis
  • Introduction to Sampling
  • Introduction to R programming
  • Types of Objects in R
  • Naming standards in R
  • Creating Objects in R
  • Data Structure in R
  • Matrix, Data Frame, String, Vectors
  • Understanding Vectors & Data input in R
  • Lists, Data Elements
  • Creating Data Files using R
  • Basic Operations in R – Expressions, Constant Values, Arithmetic, Function Calls, Symbols
  • Sub-setting Data
  • Selecting (Keeping) Variables
  • Excluding (Dropping) Variables
  • Selecting Observations and Selection using Subset Function
  • Merging Data
  • Sorting Data
  • Adding Rows
  • Visualization using R
  • Data Type Conversion
  • Built-In Numeric Functions
  • Built-In Character Functions
  • User Built Functions
  • Control Structures
  • Loop Functions
  • Basic Statistics
  • Measure of central tendency
  • Types of Distributions
  • Anova
  • F-Test
  • Central Limit Theorem & applications
  • Types of variables
  • Relationships between variables
  • Central Tendency
  • Measures of Central Tendency
  • Kurtosis
  • Skewness
  • Arithmetic Mean / Average
  • Merits & Demerits of Arithmetic Mean
  • Mode, Merits & Demerits of Mode
  • Median, Merits & Demerits of Median
  • Range
  • Concept of Quantiles, Quartiles, percentile
  • Standard Deviation
  • Variance
  • Calculate Variance
  • Covariance
  • Correlation
  • Hypothesis Testing
  • Multiple Linear Regression
  • Logistic Regression
  • Market Basket Analysis
  •  Clustering (Hierarchical Clustering & K-means Clustering)
  • Classification (Decision Trees)
  • Time Series Analysis (Simple Moving Average, Exponential smoothing, ARIMA+)
  • Standard Normal Distribution
  • Normal Distribution
  • Geometric Distribution
  • Poisson Distribution
  • Binomial Distribution
  • Parameters vs. Statistics
  • Probability Mass Function
  • Random Variable
  • Conditional Probability and Independence
  • Unions and Intersections
  • Finding Probability of dataset
  • Terminology in Probability
  • Probability Distributions
  • Bubble Chart
  • Sparklines
  • Waterfall chart
  • Box Plot
  • Line Charts
  • Frequency Chart
  • Bimodal & Multimodal Histograms
  • Histograms
  • Scatter Plot
  • Pie Chart
  • Bar Graph
  • Line Graph
  • Overview & Terminologies
  • What is Machine Learning?
  • Why Learn?
  • When is Learning required?
  • Data Mining
  • Application Areas and Roles
  • Types of Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement learning

Steps in developing a Machine Learning application

  • Key tasks of Machine Learning
  • Modelling Terminologies
  • Learning a Class from Examples
  • Probability and Inference
  • PAC (Probably Approximately Correct) Learning
  • Noise
  • Complexity-Noise and Model
  • Triple Trade-Off
  • Association Rules
  • Association Measures
  • Concept of Regression
  • Best Fitting line
  • Simple Linear Regression
  • Building regression models using excel
  • Coefficient of determination (R- Squared)
  • Multiple Linear Regression
  • Assumptions of Linear Regression
  • Variable transformation
  • Reading coefficients in MLR
  • Multicollinearity
  • VIF
  • Methods of building Linear regression model in R
  • Model validation techniques
  • Cooks Distance
  • Q-Q Plot
  • Durbin- Watson Test
  • Kolmogorov-Smirnof Test
  • Homoskedasticity of error terms
  • Logistic Regression
  • Applications of logistic regression
  • Odds concept
  • Concept of Odds Ratio
  • Derivation of logistic regression equation
  • Interpretation of logistic regression output
  • Model building for logistic regression
  • Model validations
  • Confusion Matrix
  • Concept of ROC/AOC Curve
  • KS Test
  • Applications of Market Basket Analysis
  • What is association Rules
  • Overview of Apriori algorithm
  • Key terminologies in MBA
  • Support
  • Confidence
  • Lift
  • Model building for MBA
  • Transforming sales data to suit MBA
  • MBA Rule selection
  • Ensemble modelling applications using MBA
  • Model building using ARIMA, ARIMAX, SARIMAX
  • Data De-trending & data differencing
  • KPSS Test
  • Dickey Fuller Test
  • Concept of stationarity
  • Model building using exponential smoothing
  • Model building using simple moving average
  • Time series analysis techniques
  • Components of time series
  • Prerequisites for time series analysis
  • Concept of Time series data
  • Applications of Forecasting
  • Understanding the Concept
  • Internal decision nodes
  • Terminal leaves.
  • Tree induction: Construction of the tree
  • Classification Trees
  • Entropy
  • Selecting Attribute
  • Information Gain
  • Partially learned tree
  • Overfitting
  • Causes for over fitting
  • Overfitting Prevention (Pruning) Methods
  • Reduced Error Pruning
  • Decision trees – Advantages & Drawbacks
  • Ensemble Models
  • Parametric Methods Recap
  • Clustering
  • Direct Clustering Method
  • Mixture densities
  • lasses v/s Clusters
  • Hierarchical Clustering
  • Dendogram interpretation
  • Non-Hierarchical Clustering
  • K-Means
  • Distance Metrics
  • K-Means Algorithm
  • K-Means Objective
  • Color Quantization
  • Vector Quantization
  • Tableau Introduction
  • Data connection to Tableau
  • Calculated fields, hierarchy, parameters, sets, groups in Tableau
  • Various visualizations Techniques in Tableau
  • Map based visualization using Tableau
  • Reference Lines
  • Adding Totals, sub totals, Captions
  • Advanced Formatting Options
  • Using Combined Field
  • Show Filter & Use various filter options
  • Data Sorting
  • Create Combined Field
  • Table Calculations
  • Creating Tableau Dashboard
  • Action Filters
  • Creating Story using Tableau
  • Clustering using Tableau
  • Time series analysis using Tableau
  • Simple Linear Regression using Tableau
  • Integrating R code with Tableau
  • Creating statistical model with dynamic inputs
  • Visualizing R output in Tableau
  • Case Studies
  • 1- Real time project with Twitter Data Analytics
  • 2- Real time project with Google Finance
  • 3- Real time project with IMDB Website

Want to get yourself equipped with Job assured Syllabus?

Trainer's Profile


Our Mentors are from Top Companies like

  • Experienced and motivated Data Science Trainers, specialising in teaching Data Science concepts to students of all levels.
  • They possess expertise in using programming languages like R, Python and Scala for data analysis, predictive modelling and visualisations.
  • They have exceptional understanding of machine learning algorithms like Linear Regression, Logistic Regression, Random Forests, Gradient Boosting and clustering.
  • They hold proven ability to develop predictive models using regression and classification techniques.
  • They arexperienced in using SQL, NoSQL and big-data technologies for building data pipelines.
  • They have detailed knowledge of using tools like Tableau, Power BI and Google Data Studio to create visualisations for business presentations.
  • They have astute understanding of the real-world data analysis scenarios and the need for high-level data interpretation.
  • They have the ability to motivate and encourage students to understand and apply Data Science techniques for business solutions in the data science training in Chennai.
  • They are able to guide students with the fundamentals and the current trends of the industry and have demonstrated ability to stay abreast to the recent developments in the Data Science domain.
  • They are adept in teaching students to use the right tools, industry-standard and open-source Data Science tools for the right tasks and are experienced in designing and delivery of hands-on Data Science projects and assignments.
  • They are well-versed in teaching basics of statistics and mathematics with relevant problems.
  • They are well versed in building strong and positive relationships with the students and is able to motivate them in complex tasks, assignments, resume making, and interview preparation.

Talk with our Trainers



Take your career to new heights with Softlogic's software training certifications. Improve your abilities to get access to rewarding possibilities

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Project Practices

Gesture Recognition
Gesture Recognition
Build a system that can interpret hand gestures and translate them into specific commands or actions.
Interactive Data Exploration
Interactive Data Exploration
Build tools or applications that allow users to explore and analyze datasets in a dynamic and interactive manner.
Healthcare Data Analysis
Healthcare Data Analysis
Uncover patterns and correlations in large healthcare datasets to aid in disease diagnosis and treatment planning.
 Anomaly Detection System
Anomaly Detection System
Build a system to identify unusual patterns in data, aiding in fraud detection and error detection.
Question Answering System
Question Answering System
Build a natural language understanding system that provides accurate answers based on available knowledge.
 Named Entity Recognition Model
Named Entity Recognition Model
Develop a model to identify and classify named entities in text data.
CTR Prediction Model
Develop a model to predict user click-through rates for optimized ad targeting.
Ctr Prediction Model
E-Commerce Recommender System
E-commerce Recommender System
Develop a personalized product recommendation engine based on user behavior and preferences.
Autonomous Driving Algorithms
Develop models for vehicles to detect and respond to road conditions and obstacles.
Autonomous Driving Algorithms

Learn with Real Time Projects

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A Proven Path to become a Data Scientist

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Placement Support


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Aptitude Training

Aptitude Training from Day 1

Build Resume

Build Your Resume

Panel Mock Interview

Panel Mock Interview

Interview Skills

Interview Skills from Day 1

Linkedin Profile

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Unlimited Interviews

Unlimited Interviews until you get placed

Softskills Training

Softskills Training from Day 1

Portfolio Github

Build Your digital portfolio through "GitHub"

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Data visualization is an important step in data science. It helps to quickly and easily explore and understand the data, identify patterns in the data and find relationships between variables.

The different techniques used for data pre-processing include normalization, imputation, binning, scaling, outlier detection and treatment.

Exploratory data analysis (EDA) is an iterative process used to analyze data in order to summarize their main characteristics, uncover relationships between variables, and identify outliers and anomalies.

In supervised learning, models are trained on a set of labeled data and learn from it to make predictions, while in unsupervised learning, models find patterns and relationships from datasets without labels to generate insights.

A decision tree is a type of supervised machine learning algorithm which creates a tree-like structure to predict the value of a target variable by learning simple decision rules inferred from the data. A random forest is an ensemble technique that combines multiple decision trees to produce more accurate and stable predictions than a single decision tree.

Professionals who are skilled in data science are in high demand across a wide range of organizations, including those of Google, Microsoft, Deloitte Accenture, IBM, Capgemini, Amazon, Apple, and many more MNCs.

  • At Softlogic Systems, you will receive hands-on experience and rigorous training from industry professionals. The course content covers both introductory and advanced-level material.
  • Learning from Data Science training in Chennai, which combines excellence and innovation, will provide you with abilities and expertise that are unique and essential in both your personal and professional lives.
  • When compared to competitors in the software training market, our placement services are unparalleled.

The placement support offered by Softlogic increases your chances of getting the job of your dreams. Certified students who are interested in making a career change or entering the workforce for the first time will have access to comprehensive assistance through our placement assistance. Softlogic will provide the following premium services as part of our placement assistance:

  • Resume building
  • Career Guidance and Advising
  • Interview practise sessions
  • Career Expos

Yes, once you complete the training succesfully, you will be awarded the Softlogic Systems Data Science Training Certification that is accredited by IBM.

Yes, the Institute will provide project files and study materials for reference, sample papers, interview questions, and extra help when needed.