Best Data Science Training in Chennai
Our training will be handled in either a weekday or weekend program depends on participants’ requirements. We do offer Fast-Track Data Science Training in Chennai at OMR and One-to-One Data Science Training in Chennai. Here are the major topics we cover under this Data Science course Syllabus Introduction to R, Understanding R data structure, Importing data, Manipulating Data, Using functions in R, R Programming, Charts and Plots, Machine Learning Algorithm and Statistics.Every topic will be covered in mostly practical way with examples.
Besant Technologies located in various places in Chennai. We are the best Training Institute offers certification oriented Data Science Training in Chennai at OMR. Our participants will be eligible to clear all type of interviews at end of our sessions. We are building a team of Data Science trainers and participants for their future help and assistance in subject. Our training will be focused on assisting in placements as well. We have separate HR team professionals who will take care of all your interview needs. Our Data Science Training Course Fees is very moderate compared to others. We are the only Data Science training institute who can share video reviews of all our students. We mentioned the course timings and start date as well in below.
Classroom Batch Training
One To One Training
Online Training
Customized Training
Data Science Training Key Features
Besant Technologies offers Data Science Training in Chennai in more than 9+ branches with expert trainers get training in other locations too Data Science Training in Chennai and Data Science Training in Bangalore. Here are the key features,
- 30+ Hours Course Duration
- 100% Job Oriented Training
- Industry Expert Faculties
- Free Demo Class Available
- Completed 500+ Batches
- Certification Guidance
Data science Training Batch Schedule
Here are the Data Science Training Classes in Chennai Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your interest.
Data Science Training Syllabus
Data Science with Python Training Syllabus
Module 1: Introduction to Data Science (Duration-1hr)
- What is Data Science?
- What is Machine Learning?
- What is Deep Learning?
- What is AI?
- Data Analytics & it’s types
Module 2: Introduction to Python (Duration-1hr)
- What is Python?
- Why Python?
- Installing Python
- Python IDEs
- Jupyter Notebook Overview
Module 3: Python Basics (Duration-5hrs)
- Python Basic Data types
- Lists
- Slicing
- IF statements
- Loops
- Dictionaries
- Tuples
- Functions
- Array
- Selection by position & Labels
Module 4: Python Packages (Duration-2hrs)
- Pandas
- Numpy
- Sci-kit Learn
- Mat-plot library
Module 5: Importing data (Duration-1hr)
- Reading CSV files
- Saving in Python data
- Loading Python data objects
- Writing data to csv file
Module 6: Manipulating Data (Duration-1hr)
- Selecting rows/observations
- Rounding Number
- Selecting columns/fields
- Merging data
- Data aggregation
- Data munging techniques
Module 7: Statistics Basics (Duration-11hrs)
- Central Tendency
- Mean
- Median
- Mode
- Skewness
- Normal Distribution
- Probability Basics
- What does mean by probability?
- Types of Probability
- ODDS Ratio?
- Standard Deviation
- Data deviation & distribution
- Variance
- Bias variance Trade off
- Underfitting
- Overfitting
- Distance metrics
- Euclidean Distance
- Manhattan Distance
- Outlier analysis
- What is an Outlier?
- Inter Quartile Range
- Box & whisker plot
- Upper Whisker
- Lower Whisker
- catter plot
- Cook’s Distance
- Missing Value treatments
- What is a NA?
- Central Imputation
- KNN imputation
- Dummification
- Correlation
- Pearson correlation
- Positive & Negative correlation
- Error Metrics Duration-3hr
- Classification
- Confusion Matrix
- Precision
- Recall
- Specificity
- F1 Score
- Regression
- MSE
- RMSE
- MAPE
Module 8: Machine Learning
Module 9: Supervised Learning (Duration-6hrs)
- Linear Regression
- Linear Equation
- Slope
- Intercept
- R square value
- Logistic regression
- ODDS ratio
- Probability of success
- Probability of failure
- ROC curve
- Bias Variance Tradeoff
Module 10: Unsupervised Learning (Duration-4hrs)
- K-Means
- K-Means ++
- Hierarchical Clustering
Module 11: Other Machine Learning algorithms (Duration-10hrs)
- K – Nearest Neighbour
- Naïve Bayes Classifier
- Decision Tree – CART
- Decision Tree – C50
- Random Forest
Data Science with SAS Training Syllabus
Overview of SAS
- Introduction and History of SAS
- Significance of SAS software solutions in various industries
- Demonstrate SAS Capabilities
- Job Profile / career opportunities with SAS worldwide?
Base SAS Fundamentals
- Explore SAS Windowing Environment
- SAS Tasks
- Working with SAS Syntax
- Create and submit a SAS sample program
Data Access & Data Transformation
- Accessing SAS Data libraries
- Getting familiar with SAS Data set
Reading SAS data set
- Introduction to reading data
- Examine structure of SAS data set
- Understanding of SAS works
Reading Excel worksheets
- Using Excel data as input
- Create as sample program to import and export excel sheets
Reading Raw data from External File
- Introduction to raw data
- Reading delimited raw data file (List Input)
- Using standard delimited data as input
- Using nonstandard delimited data as input
- Reading raw data aligned to columns (Fixed or column input)
- Reading raw data with special instructions (Formatted input)
Writing to an External file
- Write data values from SAS data set to an external file
Data transformations (Data step processing)
- Create multiple output datasets from single SAS dataset
- Writing observations to one or more SAS datasets
- Controlling which observations and variables to be written to output data
Creating subset of observations using
- Where condition
- Conditional processing using: IF statements
Processing Data Iteratively
- Iterative DO loop processing with END statement
- DO WHILE & DO UNTIL Statement
- SAS Array statement
Summarizing data
- Creating and Accumulating total variable (Retain)
- Using Assignment statement
- Accumulating totals for a group of data (BY group)
Manipulating Data
- Sorting SAS data sets
- Manipulating SAS data values
- Presentation of user defined values /data/currency values using FORMAT procedure
- SAS functions to manipulate char and num data
- Convert data type form char-to num and num-to-char
- SAS variables lists/ SAS variables lists range
- Debugging SAS program
- Accessing observations by creating index
Restructuring a SAS data set
- Rotating with the data step
- Using the transpose procedure
Combining SAS data sets
- Concatenation
- Interleaving
- One to one reading
- One to one merging (with non-matching)
- Match merging (Merging types with IN=option)
SAS Access & SAS Connect
- Validating and cleaning data
- Detect and correct syntax errors
- Examining data errors
Analysis & Presentation
- SAS/REPORTS SAS/GRAPH
- SAS/STATS SAS/ODS
Producing detailed /Summary Reports
- Freq Report
- Means Report
- Tabulate Report
- Proc report
- Summary report
- Univariate report
- Contents report
- Print report
- Compare proc
- Copy proc
- Datasets proc
- Proc append
- Proc delete
Generating Statistical Reports using
- Regression proc
- Uni/Multivariate proc
- Anova proc
Generating Graphical reports using
- Producing Bar and Pie charts (GCHART Proc)
- Producing plots (GPLOT Proc)
- Presenting Output Report result in:
- Text files
- Excel
- HTML Files
SAS/SQL Programming
- Introduction and overview to SQL procedure
- Proc SQL and Data step comparisons
Basics Queries
- Proc SQL syntax overview
- Specifying columns/creating new columns
- Specifying rows/subsetting on rows
- Ordering or sorting data
- Formatting output results
- Presenting detailed data
- Presenting summarized data
Sub Queries
- Non correlated sub queries
- Correlated sub queries
SQL Joins (Combining SAS data sets using SQL Joins)
- Introduction to SQL joins
- Types of joins with examples
- Simple to complex joins
- Choosing between data step merges and SQL joins
SET Operators
- Introduction to set operations
- Except/Intersect/Union/Outer union operator
Additional SQL Procedures features
- Creating views with SQL procedure
- Dictionary tables and views
- Interfacing Proc SQL with the macro programming language
- Creating and maintaining indexes
- SQL Pass-Through facility
SAS Macro Language
- Introduction to macro facility
- Generate SAS code using macros
- Macro compilation
- Creating macro variables
- Scope or macro variables
- Global/Local Macro variables
- User defined /Automatic Macro variables
- Macro variables references
- Combing macro variables references with text
- Macro functions
- Quoting (Masking)
- Creating macro variables in Data step (Call SYMPUT Routine)
- Obtaining variable value during macro execution (SYMGET function)
- Creating macro variables during PROC SQL execution (INTO Clause)
- Creating a delimited list of values
- Macro parameters
- Strong Macro using Autocall Features
- Permanently storing and using stored compiled macro program
- SAS Macro debugging options to track problems
Basics Statistics
- Standard deviation
- Correlation Coefficients
- Outliers
- Linear regressions
- Clustering
- Chi Square
Data Science with R Training Syllabus
Module 1: Introduction to Data Science (Duration-1hr)
- What is Data Science?
- What is Machine Learning?
- What is Deep Learning?
- What is AI?
- Data Analytics & it’s types
Module 2: Introduction to R (Duration-1hr)
- What is R?
- Why R?
- Installing R
- R environment
- How to get help in R
- R Studio Overview
Module 3: R Basics (Duration-5hrs)
- Environment setup
- Data Types
- Variables Vectors
- Lists
- Matrix
- Array
- Factors
- Data Frames
- Loops
- Packages
- Functions
- In-Built Data sets
Module 4: R Packages (Duration-2hrs)
- DMwR
- Dplyr/plyr
- Caret
- Lubridate
- E1071
- Cluster/fpc
- Data.table
- Stats/utils
- Ggplot/ggplot2
- Glmnet
Module 5: Importing Data (Duration-1hr)
- Reading CSV files
- Saving in Python data
- Loading Python data objects
- Writing data to csv file
Module 6: Manipulating Data (Duration-1hr)
- Selecting rows/observations
- Rounding Number
- Selecting columns/fields
- Merging data
- Data aggregation
- Data munging techniques
Module 7: Statistics Basics (Duration-11hrs)
- Central Tendency
- Mean
- Median
- Mode
- Skewness
- Normal Distribution
- Probability Basics
- What does mean by probability?
- Types of Probability
- ODDS Ratio?
- Standard Deviation
- Data deviation & distribution
- Variance
- Bias variance Trade off
- Underfitting
- Overfitting
- Distance metrics
- Euclidean Distance
- Manhattan Distance
- Outlier analysis
- What is an Outlier?
- Inter Quartile Range
- Box & whisker plot
- Upper Whisker
- Lower Whisker
- Scatter plot
- Cook’s Distance
- Missing Value treatments
- What is a NA?
- Central Imputation
- KNN imputation
- Dummification
- Correlation
- Pearson correlation
- Positive & Negative correlation
Module 8: Error Metrics (Duration-3hrs)
- Classification
- Confusion Matrix
- Precision
- Recall
- Specificity
- F1 Score
- Regression
- MSE
- RMSE
- MAPE
Module 9: Machine Learning
Module 10: Supervised Learning (Duration-6hrs)
- Linear Regression
- Linear Equation
- Slope
- Intercept
- R square value
- Logistic regression
- ODDS ratio
- Probability of success
- Probability of failure
- ROC curve
- Bias Variance Tradeoff
Module 11: Unsupervised Learning (Duration-4hrs)
- K-Means
- K-Means ++
- Hierarchical Clustering
Module 12: Machine Learning using R (Duration-10hrs)
- Linear Regression
- Logistic Regression
- K-Means
- K-Means++
- Hierarchical Clustering – Agglomerative
- CART
- 5.0
- Random forest
- Naïve Bayes
FAQ
Call now: +91-8099 770 770 and know the exciting offers available for you!
Besant Technologies offers 250+ IT training course in more than 20+ branches with 10+ years Experienced Expert level Trainers.
- Fully hands-on training
- 30+ hours course duration
- Industry expert faculties
- Completed 1500+ batches
- 100% job oriented training
- Certification guidance
- Own course materials
- Resume editing
- Interview preparation
- Affordable fees structure
Besant Technologies is the Legend in offering placement to the students. Please visit our Placed Students List on our website.
More than 2000+ students placed in last year. It has a dedicated placement portal which caters to the needs of the students during placements. Besant Technologies conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
- 92% percent placement record.
- 1000+ interviews organized.
Our trainers are more than 10+ years of experience in course relevant technologies. Trainers are expert level and fully up-to-date in the subjects they teach because they continue to spend time working on real-world industry applications. Trainers have experienced on multiple real-time projects in their industries.
- Are working professionals working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies, etc…
- Trained more than 2000+ students in a year.
- Strong theoretical & practical knowledge.
- Are certified professionals with high grade. Are well connected with hiring HRs in multinational companies.
No worries. Besant technologies assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
Besant Technologies provides many suitable modes of training to the students like
- Classroom training
- One to One training
- Fast track training
- Customized training
You will receive Besant Technologies globally recognized course completion certification.
Yes, Besant Technologies provides group discounts for its training programs. To get more details, visit our website and contact our support team via Call, Email, Live Chat option or drop a Quick Enquiry. Depending on the group size, we offer discounts as per the terms and conditions.
We accept all major kinds of payment options. Cash, Card (Master, Visa, and Maestro, etc), Net Banking and etc.
Please Contact +91-8099 770 770
Or you can share your queries through info@besanttechnologies.com
Data Science Training Reviews
Great explanation of concepts through live examples. Everything about the training was absolutely amazing. Excellent Instructor and wonderful Customer Service. another thing I like to highlight is service after completion of course. As a learner, this is what we always look for. they always respond on time with answers. Highly recommend it.
It was a great experience with Besant Technologies. One of the best things I would say from this platform is providing high-quality content with highly skilled and experienced professionals as an instructor for each live course. Thanks to Besant Technologies for the wonderful learning experience!
It was a wonderful learning experience. Trainer's knowledge is impressive, and great teaching capability. The course content is great. The session was interactive which was very good. The Instructor will spend more enough time for us to understand the concept. Thanks to Besant Technologies.
Besant Technologies is the Best training Institute throughout my career. The course content is well-planned, comprehensive, and elaborate. The faculties were well experienced and the learning curve was really high. The support is always willing to help you out in various ways as promptly as possible. Thank you Besant Technologies. looking forward to other courses.
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The courses were brilliantly designed to make the learners understand and gain confidence on what they are learning for. The instructor was very well determined and Focussed on Clear Examples. This reduces my effort of reading books and can start working immediately in the ongoing projects. Keep up the good work.
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I had an awesome experience with Besant Technologies, The instructors are experienced and knowledgeable about the subject are very much appreciated. Moreover, the examples he used while explaining were outstanding and easy to understand. Overall, Thanks, Besant Technologies, for providing quality education.
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It was a very good learning experience with Besant Technologies. The syllabus is systematically structured, and the Live sessions are explained with real-time examples. This makes the course more accessible to freshers with basic knowledge. Looking forward to completing it. Thanks, Besant Technologies Team.
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Data Science Trainer Profile & Placement
Our Data Science Trainers
- More than 10 Years of experience in Data Science Technologies
- Has worked on multiple realtime Data Science projects
- Working in a top MNC company in Chennai
- Trained 2000+ Students so far
- Strong Theoretical & Practical Knowledge
- Data Science certified Professionals
Data Science Placement Training in Chennai
- More than 2000+ students Trained
- 93% percent Placement Record
- 1100+ Interviews Organized
Besant Technologies Official Branches
Plot No. 119, No.8,
11th Main Rd, Vijaya Nagar,
Velachery, Chennai,
Tamil Nadu 600042
Old No:146/2- New, No: 48,
Habibullah Rd, T. Nagar,
Chennai, Tamil Nadu 600017
180/84, 1st Floor,
Karnataka Bank Building,
Trunk Rd,Porur, Chennai,
Tamil Nadu 600116
1st Floor, No.2A
Duraisamy Reddy St,
Near Passport Seva,
Tambaram West, Chennai,
Tamil Nadu 600045
1st Floor, No 54, 1633, 13th Main Rd, Bharathi Colony,
H Block, Tirumaniamman Nagar,
Anna Nagar, Chennai - 600040
Tamil Nadu, India
22/67, 1st Floor,
North mada street,
Near Valmiki St, Thiruvanmiyur,
Chennai, Tamil Nadu 600041
5/318, 2nd Floor,
Sri Sowdeswari Nagar,
Old Mahabalipuram Rd,
Thoraipakkam,
Tamil Nadu 600097
No.37, Ground Floor,
Thiruvalluvar Salai,
Maraimalai Nagar, Chennai,
Tamil Nadu 603209
No. 4/76, Ambedkar Street,
OMR Road, Egatoor, Navallur,
Siruseri, Chennai,
Tamil Nadu 600130
Besant Technologies has been a unique and fulfilling experience. I would like to take up more training with Besant Technologies. Faculties also explaining the topics with live examples. The course content prepared by Besant Technologies is extremely inline with real-time client specifications. Thanks to Besant Technologies.