Isha presents an Extensive and highly interactive “Data Science” Course by our industry expert with 11+ years of hands-on experience. Learn all the Data Science with hands-on practical examples. The course syllabus is designed by considering the current job market trends and industry requirements.
About the Instructor:
| Saravanan has nearly 11+ years of rich, varied and extensive experience in Performance Testing. His impeccable passion for sharing his knowledge has motivated to take-up Technical Training. He has 10+ years of real time experience and 7+ years Technical Training experience. During this knowledge sharing travel, he has taken multiple batches of performance testing tools like Loadrunner, Jmeter, Neoload, Dynatrace,appdynamics and trained 500+ students via different modes (Online, classroom) |
| I am able to Record, Replay back and Add transactions — then why should I take this course? This course is much deeper than that. Students reported that they were able to troubleshoot the issues by themselves after attending the course. Also, reported that the course helped them to break the interviews confidently. |
How can I enroll for this course?
Call me or whatsapp me on +91-8019952427 to enroll for the course
Live Sessions Price:
For LIVE sessions – Offer price after discount is 300 USD 259 179USD Or USD13000 INR 12900 INR 9900Rupees.
Recorded Videos Price:
Offer price after discount is 300 USD 179 99USD Or USD13000 INR 12900 INR 5900 Rupees.
Demo Session:
10th April 7 A.M-8 A.M IST (Indian Timings)
9th April 8:30 P.M-9:30 P.M EST (U.S Timings)
What student’s have to say about Saravanan:
| This course is exactly what I was looking for.-Yusuf Cassim
The instructor was amazing in his way of teaching, Thank you very much-Yengkokpam Yes its a good decision to take this course as it is helpful for implementing in project – Larry Shone Very well laid out content. The explanations were done nicely. The instructor was very responsive to questions. I would definitely take more courses from him.-Matt Jarosz This is really a wonderful training with step by step process and case studies, you did great job-Amos Tunsil The Trainer is very good, explain from all aspects,and take in consider that the user don’t have previous experience , Thank you :)-Akram Obead |
Salient Features:
- 12+ Hours of Live Training along with recorded videos
- Life time access to the recorded videos
- Course Completion Certificate
Who can enroll in this course?
- Anyone who is working in Performance Testing Area and wants to enhance his knowledge on Performance Engineering area.
- Anyone who wants to improve his knowledge on Bottleneck Identification
- Anyone who want to make performance testing as your career.
- Anyone who is attending interviews and finding it difficult to crack
Course syllabus:
Module 1 – SQL And RDBMS
- SQL Data Types | Data Types in SQL Server
- FROM Clause
- ORDER BY Clause
- SQL Index – Create, Unique, Composite Index
- Count
Module 2 – Introduction To Python
- Python Environment
Module 3 – Basic Python
- Conditional Statements
Module 4- Working With Libraries Like NumPy, Pandas, Matplotlib, Seaborn, SciPy, Sklearn In Python
- NumPy Introduction
- Treating Missing and NA’s
- Working with Text Data
- Matplotlib design and different visualizations
- Introduction to Seaborn Library
- Visualizing Statistical Relationships
Module 5 – Introduction ToSciPy And Sklearn Libraries In Python
- Introduction to Sklearn (Machine Learning Algorithms)
Module 6 – Statistical Analysis
▪ Videos for Data Collection – Surveys and Design of Experiments will be provided
Module 9 – Statistical Analysis
▪ Balanced vs Imbalanced datasets
Module 9 – Statistical Analysis
▪ Population
▪ Measure of central tendency
▪ Measure of Dispersion
Module 9 – Statistical Analysis
▪ Various graphical techniques to understand data
Module 9 – Statistical Analysis
▪ Introduction to R and RStudio
▪ Normal Distribution
Module 9 – Statistical Analysis
▪ Sample size calculator
▪ Population parameter – Standard deviation unknown
Module 10 – Hypothesis Testing
▪ Choosing Null and Alternative hypothesis
▪ 2 sample t test
Module 10 – Hypothesis Testing
▪ 1 sample z test
▪ Non-Parametric test
Module 10 – Hypothesis Testing
Module 11 – Linear Regression
▪ Correlation Analysis
▪ Splitting the data into training, validation and testing datasets
▪ Deletion diagnostics
Module 12 – Logistic Regression
▪ Assumption and Steps in Logistic Regression
▪ Multiple Logistic Regression
▪ Sensitivity, Recall, Specificity, F1
Module 13 – Discrete Probability Distribution
▪ Negative Binomial Distribution
Module 14 – Advanced Regression
▪ Poisson Regression
▪ Zero-inflated Poisson
Module 15 – Multinomial Regression
▪ Category Baselining
Module 16 – Data Mining Unsupervised – Clustering
▪ Supervised vs Unsupervised learning
▪ Mixed – Gower’s General Dissimilarity Coefficient
▪ Complete Linkage / Farthest Neighbour
▪ K-Means Clustering
Module 17 – Dimension Reduction
▪ Calculation of PCA weights
Module 18 – Data Mining Unsupervised – Network Analytics
▪ Degree centrality
▪ Betweenness centrality
Module 19 – Data Mining Unsupervised – Association Rules
▪ Support
▪ Sequential Pattern Mining
Module 20 – Data Mining Unsupervised – Recommender System
▪ Computation reduction techniques
Module 21 – Machine Learning Classifiers – KNN
Module 22 – An Introduction To Data Visualization
Module 22 – An Introduction To Data Visualization
▪ Importance of Visualizing Data
▪ Examples of Perfect Visualization
Module 33 – Understand The Business Problem
▪ Business Objectives
▪ Creating Project Charter
Module 34 – Data Collection
▪ Market Research using Secondary Data Sciences
▪ Validating Data Quality
Module 35 – Data Cleansing / Exploratory Data Analysis / Feature Engineering
▪ Data cleansing including Outlier Analysis, Imputation, etc.
▪ Getting the final data for Predictive Modeling
Module 36 – Data Mining
▪ Deciding on how to deal with balanced / imbalanced dataset
Module 37 – Model Deployment
▪ Deciding upon model maintenance and upgradation strategy
Module 38 – Decision Tree And Random Forest
▪ Ensemble techniques
Module 38 – Text Mining
▪ Sources of data
▪ Corpus level word clouds
▪ Negative word clouds
▪ Extract Tweets from Twitter
▪ Install Libraries from Shell
Module 39 – Natural Language Processing
▪ Topic Modeling
Module 40 – Forecasting
▪ Introduction to time series data
▪ Lag Plot
▪ Model Based approaches
▪ Additive Seasonality
▪ Random walk
Pricing:
Call me or WhatsApp me on +91-8019952427 to enroll for this course
Live Sessions Price:
For LIVE sessions – Offer price after discount is 300 USD 259 179 USD Or USD13000 INR 12900 INR 9900 Rupees.
Recorded Videos Price:
Offer price after discount is 300 USD 179 99USD Or USD13000 INR 12900 INR 5900 Rupees.