Advanced Program in Data Analytics

An Advanced Program in Data Analytics provides the breadth and depth of experiences to enable you to succeed in a data-driven business world. Combining big data analytics, statistical learning and data visualization with real business case studies, this 6-month program will help you apply the latest analytic techniques in an expanding job market.

Monthly Recurring Batch

Program Duration

6 Months

Learning Format

Blended Learning

Program Fees


Course Overview

Data Analytics certification programs are ideal for both entry-level and experienced professionals. Ideal for individuals who want to improve processes & systems in their workplace through data analysis or who want to take up promising career paths by becoming an expert in analytics. Techniques can pursue in this course, which does not require prior programming knowledge and is not based on memorization of formulas or facts. The focus is to develop a practice-based knowledge of data analytics relevant across disciplines. It covers job-critical topics like data analysis, Power BI, data visualization, and regression techniques through supervised in-depth learning with live sessions by leading practitioners and industry experts.

Training Key Features

For More Information

    What you will learn

    Acacia University Professional Development

    Acacia University Professional Development 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.

    Airtics Education’s Advanced Programs are offered as part of Acacia University Professional Development Programs, and the learners are certified by the University.

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    Skills Covered


    Machine Translation

    Sentiment Analysis


    Attention Models

    Word Embeddings

    Locality-Sensitive Hashing

    Vector Space Models

    Parts-of-Speech Tagging

    N-gram Language Models


    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

    Logistics and Delivery
    Web Search or Internet Web results
    Customer segmentation
    Personalised Marketing


    Best suited for those passionate about starting a career in Data Analysis. Special interest in math, statistics, or computer science will certainly stand learners in good stead. But none of these is a prerequisite.


    General Requirements:

    • No prior experience is required!
    • Basic computer skills like managing files, navigating the Internet, and running programs will be useful.
    • We’ll teach you everything you need to know, but the difficulty level of the projects may vary based on your familiarity with some of the content that is covered.
    • Successful completion of this program requires a commitment to stay on pace, complete projects, and finish the program within 3 months. See more details in the program FAQ.

    Hardware Requirements:

    • Computer running OS X or Windows

    Course Modules

    • Python basics
      • Variable and data types
      • Conditional statements
      • Loops
      • Functions
    • Python Libraries
      • Numpy
      • Pandas
      • Matplotlib


    • Learning python structure and how to write programs in it
    • Basic concepts of Python, its syntax, functions, and conditional statements
    • Acquire the prerequisite Python skills to move into specific branches – Machine Learning, and Data Science
    • Understand packages to enable them to write scripts for data manipulation and analysis
    • Linear algebra
    • Probability
    • Statistics
    • Data Cleaning
    • Data Pre-processing
    • Statistical tools
      • CSV
      • Excel


    • Introduce statistical tools for working with datasets
    • Learn the essentials of probability and statistics for data analysis & visualization
    • Know how to import and clean data using libraries like NumPy and Pandas for data exploration and analysis
    • Learning to fix incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset
    • Data visualization introduction
    • Types of charts
    • SQL and Databases
    • SQL commands
    • Acquire a fundamental understanding of the analytical techniques and software tools necessary to effectively generate useful information from structured and unstructured datasets of any size CHARTS
    • Gain experience in using the tools and techniques of data science to structure and complete projects focused on obtaining actionable insights from complex data
    • Dive deeply into a chosen area of practice to fully prepare to use the knowledge gained in the program to add significant value in a professional setting
    • Be able to utilize knowledge and skills to continue learning and adapting to new data science technologies
    • Pattern Discovery
    • Data acquisition
    • Data preprocessing techniques
    • Dimensionality Reduction
    • Linear and Non-Linear Models
    • Clustering and Classification
    • Graphical Visualization


    • Introduction to Exploratory Data Analysis and Visualization
    • Learn how to analyse exploratory data with the most suitable techniques
    • Analyse and map the underlying structures of the data
    • Analyze data for anomalies and missing information
    • Communicate and analyse data visually using visualization techniques

    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…..

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      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

      Showcase your capabilities with real-world projects

      Bring Your Own Project
      Learn to solve a problem that you/your organization is facing using Data Analytics


      Choose From Curated Capstone Projects

      Insurance Pricing Forecast

      Store Sales Forecasting

      Airline Dataset Analysis and Predicting Flight Delays

      Frequently Asked Questions

      Both Python and R are open-source programming languages with large libraries of tools and active communities. Python was chosen as it’s generally viewed as a more general-purpose language with a more readable syntax whereas R is generally viewed as more suited for experienced statisticians.

      Basic excel skills are fine. There is a pre-course module where you will be able to do an introductory conversion e-learning course called ‘Python for Excel users’.

      The Analyst and Management pathways are separate courses and there is no overlap in content between the two.

      The Analyst pathway guides you through the data analytics process and gives you the knowledge and practical skills to be able to harness and make sense of data and understand what it means for the business. You’ll gain confidence in the use of data to solve business problems, including basic Python programming, and learn how to communicate effectively to influence decision-making.

      The Management pathway is more suited to senior finance leaders and covers the business benefits of applying data analytics, how to build an effective data analytics function and gives you the skills to interpret and challenge data analytics outputs and present them back to the business with maximum impact.

      The Analyst course uses Python for the analysis and visualization, however, there is a 6-month license to Airtics included where you can enhance your learning in other areas, including Tableau.

      If you go through all the course content sequentially, we expect the course to take 4-6 months to complete, depending on your level of familiarity with the course content.

      What is included in this course?

      I’m Interested in This Program

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        Course Preview

        Advanced Program in Data Analytics

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