Data Science and Machine Learning


Get trained by experienced data science practitioners and be industry ready. Become proficient in tools and systems used by Data Science Professionals. It includes training in Statistics, Data Science, Python, Apache Spark & Scala, Tensorflow, and Tableau. 

No degree or prior experience is required. Train with a world-class instructor and get mentored by a Fortune 500 Data Science practitioner

What you'll learn

  • Perform linear and logistic regressions in Python
  • Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
  • Learn how to pre-process data
  • Start coding in Python and learn how to use it for statistical analysis
  • Import and clean data sets, analyze and visualize data, and build and evaluate machine learning models and pipelines using Python
  • Apply various data science skills, techniques, and tools to complete a project and publish a report
  • Develop hands-on skills using the tools, languages, and libraries used by professional data scientists
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Program fees

$1399 $3500 Register For This Course

or pay in 3 monthly installments

Avg. salary of a Data Scientists is around $139,000 per annum


This course includes

  • 12 Weeks Live training (three times per week LIVE Online hands on sessions - 2 hours each session)
  • Job placement assistance

Companies where our students work

We offer one on one career coaching and interview preps for our students. Our graduates land jobs as Data Scientists on average between 3-6 months after taking this course. Below are some companies our talents work at.


Course Curriculum

  • Topics

    Overview of Data Science: What, why, and where?


  • Topics


    ● Data Structures

    ● Functions

    ● Numpy

    ● Matplotlib

    ● Pandas

    ● Seaborn

    ● SciPy

    ● Scikit learn

    ● SQL for Data Science

  • Topics

    ● Introduction to Data visualization tool :Tableau
    ● Interactive visual Analytics with Tableau
    ● Designing Dashboards
    ● Storytelling
    ● Plotting for exploratory Data Analysis(eda)
    ● Data cleaning
    ● Linear algebra
    ● Probability
    ● Statistics

Tools: Tableau

  • Topics


    ● Bag of Words (BoW)
    ● Text Preprocessing

    ● TF-IDF
    ● Word2Vec
    ● Avg-Word2Vec

  • Topics


    ● Classification and Regression Models
    ● Performance Measurement of ML Algorithms
    ● Naive Bayes
    ● Logistic Regression
    ● Linear Regression

  • Topics


    ● Support Vector Machines (SVM)
    ● Decision Trees
    ● Ensemble Models

Tools: Google colab for Python Cloud

  • Topics


    ● Featurization
    ● Feature engineering.

  • Topics


    ● Unsupervised learning
    ● Clustering
    ● DBSCAN (Density-based clustering) in Data Mining

  • Topics


    ● Neural Networks
    ● Deep MLP
    ● Deep Learning with Tensorflow And Keras

  • You will apply various Data Analytics skills and techniques that you have learned. You will perform the tasks of collecting data from multiple sources, performing exploratory data analysis, data wrangling and preparation, statistical analysis and mining the data, creating charts and plots to visualize data, and building an interactive dashboard. The project will culminate with a presentation of your data analysis report, with an executive summary for the various stakeholders in the organization. You will be assessed on both your work for the various stages in the Data Analysis process, as well as the final deliverable. 

  • We prepare you for real-world interviews by providing one-on-one career coaching, mock interviews, and resume/LinkedIn editing.

    You will work with senior Data Scientists/analysts who make hiring decisions at Fortune 500 companies.

Register for the Data Science and Machine Learning course. **Limited seats per batch**

Next Class: June 28, 2023

Program fees
$1399 $3500 Register For This Course

or pay in 3 monthly installments

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