Mastering Data Science

The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and Data Frame as the central data structures for data analysis.

Monthly Recurring Batch

Program Duration

6 Months

Learning Format

Blended Learning

Program Fees


Course Overview

The Data Science with Python course training ,you will learn Python programming, Data Analysis, Machine Learning, Data Visualization, Web Scraping, Artificial Intelligence, Business Intelligence-Powerbi & NLP. Upon course completion, you will master the essential Data Science tools using Python.

Training Key Features

For More Information

    What you will learn

    About Acacia University Extension (AUX)

    AUX, an extension of the prestigious Acacia University, USA, has initiated various programs in partnership with Airtics Education. The wide range of programs aims to upskill millions of students in trending technologies through a blend of theoretical and hands-on knowledge and are taught by leading academicians.

    Upon completion of these programs, you will receive an Advanced Certification from AUX.

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    Skills Covered

    Python programming concepts

    Data Wrangling

    Data Visualization

    Mathematical Computing

    Model building and fine tuning

    Database management, SQL

    Supervised and unsupervised learning

    Business intelligence

    Exploratory Data Analysis

    Analytical Libraries

    Who Can Apply for the Course?

    Tools/ Frameworks/ Libraries

    Scripting tools

    Data science environment

    IDE shell

    Data Analytics Libraries

    Database Integrations

    Automated Machine Learning Models

    Supervised, Unsupervised

    Application And Use Cases

    Data Science in Sales And Marketing
    Future sales prediction, Price optimization
    Data Science in Supply Chain & Logistics
    Demand analytics
    Data Science in Manufacturing
    Actionable preventive maintenance
    Data Science in HR
    Predictive analytics


    This course is well suited for participants of all levels of experience because of the high demand for Data Science with Python programmers. Data Science with Python is beneficial for analytics professionals interested in Python, software and IT professionals interested in Analytics, as well as anyone with a genuine interest in Data Science.


    Good to have familiarity with basic concepts of mathematics and programming knowledge. Basic knowledge of Database tools and workflow will be a plus.

    Course Modules

    Topics Covered: Data Science, Mathematics, Python Programming, Data Analytics Visualization, Machine learning, Artificial Intelligence, Business Intelligence-Powerbi, Database management.

    • basics, conditional statements, loops
    • lists, tuples, dictionaries, sets
    • functions
    • Hands on Numpy
    • Hands on Pandas
    • Exploratory data analysis, Matplotlib and Seaborn
    • Measures of central tendency and variation
    • Hypothesis testing (z-test, t-test)
    • Probability and distributions
    • Handling Missing values, outliers
    • One hot encoding, standization and normalization
    • Python ML pipelines
    • Supervised ML
    • Regression, Logistic regression, KNN,SVM
    • Decision Trees, Ensemble Learning (random forests)
    • Use case supervised learning
    • KMeans clustering
    • Hierarchical clustering
    • Use case unsupervised learning
    • Flask Framework
    • Integration/ Hosting an ML application

    Interested in This Program? Secure your spot now.

    The application is free and takes only 5 minutes to complete.

      Student Reviews

      Veeraiah Yadav Doddaka
      IT Manager, Samsung

      I choose to learn Data Science and explored many options on which institute to join, among that what I found is Airtics as the best in terms of the course curriculum/on line content they designed and most…..

      Read More

      Prasad Joshi
      RF Optimization Engineer, Nokia

      I was a Data Science student at Airtics Education, which helped build a solid data science background and sharpen my programming skills…

      Read More

      Mohamed Hanan
      Procurement Assistant

      The program in Data Science offered by Airtics Education is rigorous and has provided me with a greater understanding of the data science world…

      Read More

      Capstone Projects

      House rental Prediction

      Image Classification

      Business insights reporting

      Career Support

      Frequently Asked Questions

      Data science isn’t just the way of the future, it’s the way of right now! It is being adopted in all sorts of industries, from health care to route planning, marketing & sales to banking industries and beyond. Even industries such as retail that you might not associate with big data are getting on board. Data science is the fuel of the 21st Century.
      We provide you with live recorded classes of the same session to follow up if you end up missing the same.
      Each of these technologies complements one another yet can be used as a separate entity. Big Data refers to any large and complex acquisition of data. Extracting meaningful information from data is why Data Analytics is used for. While Data Science is a multidisciplinary field that aims to produce broader insights.
      Accelerated data science career guidance with world-class training on the most in-demand data science and machine learning skills. Training and hands-on experience with key tools and technologies including Python, PowerBi, and concepts of Machine Learning. Upon completing the program, you will be receiving an international certificate from the extension of the prestigious Acacia University (AUX).
      Aspirants and professionals who are having basic computer programming skills can enroll for the program.
      Basic knowledge of programming logic and technology exposure will be helpful.
      Google Duplex can make phone calls to make restaurant and hair appointments. Google Deep Mind won a global Starcraft game challenge against gaming pros. Amazon uses AI for book and product recommendations. Websites are using chatbots to answer basic customer queries. Airports are using image recognition for staff security. Rolls Royce is using AI for predictive maintenance and servicing of airplane engines. Informatica is using AI for compliance and data gathering and analysis purposes. Fintech is using AI to combine and analyze more diverse datasets. In healthcare, AI can help analyze more data for preventative medicine. Baidu in China is producing self-driving buses for large cities.
      Automated transport, taking over dangerous jobs, robots working with humans, improved elderly care, cyborg (organic/bio-mechanic) organisms, environment monitoring and response to climate change goals.
      TensorFlow is an end-to-end open-source platform for Machine Learning (ML). It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.
      Yes. Many data analysts go on to become data scientists after gaining experience, advancing their programming and mathematical skills, and earning an advanced degree.‎
      Which you choose is largely a matter of preference. If you’re mathematically minded and enjoy the technical aspects of coding and modelling, a data science degree could be a good fit. On the other hand, if you love working with numbers, communicating your insights, and influencing business decisions, consider a degree in data analytics. Whether you study data science or data analytics, you’ll be building skills for an in-demand, high-paying career. ‎
      The technical skills and concepts involved in machine learning and deep learning can certainly be challenging at first. But if you break it down using the learning pathways outlined above, and commit to learning a little bit every day, it’s possible. Plus, you don’t need to master deep learning or machine learning to begin using your skills in the real world.‎
      Yes. The average base pay for a machine learning engineer in the US is $123,608, as of April 2022. According to a December 2020 study by Burning Glass, demand for AI and machine learning skills is projected to grow by 71 per cent over the next five years. The same study reports a $14,175 salary premium associated with these skills.

      What is included in this course?

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        Mastering Data Science

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