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Advanced Program in Data Analytics

Elevate your career with our comprehensive 6-month Advanced Program in Data Analytics, certified by Acacia University Professional Development. This professional development program equips you with in-demand skills in Python programming, data analytics, machine learning, and AI implementation through live instructor-led training and real-world business case studies.
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  • Duration

6 Months

  • Modules

4 Modules

  • Assignments

3 Assignments

  • Format

Blended Learning

  • Projects

3 Projects

  • Level

Beginner

15000

Students Trained Globally

25

Industry-Aligned Programs

70

Countries with Active Alumni

87

Career Transition Success

  • Industry-Standard Technology Stack

Tools & Technologies That Power Success

Master the complete data analytics ecosystem with hands-on experience using industry-leading tools and frameworks. Our Advanced Program in Data Analytics equips you with practical skills in Python programming, data manipulation, visualization, and statistical analysis – preparing you for real-world data challenges.

  • Production-Ready Skills
  • Industry-Relevant Tools
  • Hands-On Learning

Python

MySQL

learn anaconda

Anaconda

Jupyter Hub

Pandas

NumPy

Seaborn

Matplotlib

Excel

GIT

HTML

CSS

Join Airtics Education

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.
Eligibility

Eligibility

This program is well suited for professionals of all levels of experience because of the high demand for Data Analytics specialists. Data Analytics is beneficial for business professionals, software developers, project managers, database administrators, as well as anyone with a genuine interest in Data Analysis and career growth.

Prerequisites

No prior experience is required! Basic computer skills like managing files, navigating the Internet, and running programs will be useful. Basic knowledge of Excel and willingness to learn will be a plus for your learning journey.

Course Modules

Module 1
Hands-On Core Python And Python Libraries For Data
Module 2
Mathematics And Statistics For Data Treatment
Module 3
Data Visualization And Database Management (SQL)
Specialization Module
Exploratory Data Analysis
Mastering the Fundamentals of Python

Learn the core structure and functionality of Python—covering syntax, variables, data types, conditionals, loops, and functions. This module sets the foundation for data-centric programming and analysis.

Working with Python Libraries

Dive into essential Python libraries used in data science. Understand how to manipulate arrays using NumPy, handle dataframes with Pandas, and create visualizations with Matplotlib.

Preparing for Data Analytics and Machine Learning

Acquire the programming confidence needed for more advanced analytics modules. Build a strong base in Python that enables you to transition smoothly into data science, machine learning, and AI.

Learning Outcomes
Module Duration: 3–4 weeks

By completing this module, you will:

  • Learn the core structure and flow of Python programming
  • Understand how to write and organize Python programs with conditional statements and functions
  • Gain practical knowledge of key Python libraries like NumPy, Pandas, and Matplotlib
  • Build a strong Python foundation for progressing into advanced analytics, ML, and data manipulation
Mathematical Foundations for Data Science

Build a strong base in linear algebra and probability theory essential for understanding data structures, relationships, and modeling logic. Grasp key statistical concepts that inform analytical decisions and support data-driven insights.

Practical Data Handling and Pre-processing

Learn how to work with raw data using statistical tools and spreadsheet platforms like Excel. Dive into data cleaning and transformation techniques with Python libraries such as NumPy and Pandas, enabling structured, high-quality analysis.

From Raw to Refined Data

Master the techniques to identify and correct incomplete, inconsistent, or duplicate data entries. Develop hands-on experience preparing datasets for use in machine learning pipelines and exploratory analysis.

Learning Outcomes
Module Duration: 4–6 weeks

By completing this module, you will:

  • Learn the foundational mathematics (linear algebra, probability, statistics) essential for data analysis
  • Use statistical tools and platforms (CSV, Excel) to analyze and organize data
  • Gain proficiency in importing, exploring, and cleaning data using Python libraries like NumPy and Pandas
  • Understand how to fix corrupted, incomplete, and inconsistent data for accurate insights
  • Apply data pre-processing techniques to prepare datasets for deeper analytics and modeling
Visualizing Data for Insights

Learn how to present data visually using appropriate charts and graphs that tell compelling stories. Understand the importance of design choices in conveying clear, accurate, and persuasive insights.

SQL and Database Essentials

Get hands-on experience with SQL (Structured Query Language), the industry-standard language for managing and querying databases. Explore the structure and function of relational databases, and understand how to retrieve and manipulate data effectively.

From Raw Data to Business Value

Develop the ability to transform structured and unstructured data into actionable insights using a combination of visualization and database management tools. This module helps bridge the gap between raw data and strategic decisions.

Learning Outcomes
Module Duration: 4–6 weeks

By completing this module, you will:

  • Understand the principles of data visualization and choose the right chart types for various datasets
  • Gain practical skills in working with SQL commands for database querying and data retrieval
  • Learn to structure, clean, and manage data for both visualization and analysis
  • Use tools and techniques to draw actionable insights from complex datasets
  • Apply skills to real-world business scenarios requiring visualization and data-driven storytelling
  • Build a foundation for continuous learning in data technologies and database management
Understanding the Data Landscape

Gain foundational knowledge of exploratory data analysis (EDA), including key techniques for discovering patterns, structures, and anomalies in datasets. Learn to approach raw data systematically to uncover meaningful insights.

Data Preparation and Pattern Mapping

Master the steps of data acquisition, preprocessing, and dimensionality reduction. Dive into clustering and classification techniques to identify relationships and hidden patterns in the data.

Visual Communication of Insights

Explore effective graphical techniques to visualize data and highlight insights. Learn how to represent linear and non-linear models and translate complex datasets into understandable visuals for decision-making.

Learning Outcomes
Module Duration: 4–6 weeks

By completing this module, you will:

  • Understand the principles of exploratory data analysis and graphical visualization
  • Learn to use EDA techniques to uncover hidden structures in datasets
  • Apply preprocessing methods and handle missing or anomalous data
  • Analyze data using clustering, classification, and dimensionality reduction methods
  • Communicate findings effectively through various visualization tools
  • Build a foundation for deeper machine learning and predictive modeling

Your Success Story Starts Here

Every image here tells a story of transformation, dedication, and success. Be the next to wear the cap and gown. Enroll today, and let your journey begin.

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What Our Students Say

Every student has a story—of ambition, of challenge, of growth. In their own words, they share how Airtics became a turning point in their learning journey and helped them move closer to their goals.

Pemsith Ravi

Thanks to the support of this prestigious institution – airtics. I was able to earn a master’s degree in data science. I had a fantastic educational experience there, and they possess a highly competent and knowledgeable lecturing panel. Anyone looking to make it major in the data science field should enrol in their course.
  • Verified Review

Zeeshan Ali

Airtics offers a truly transformative learning experience. The course content is up-to-date, the mentors are incredibly supportive, and the flexibility of the online platform made it easy to balance with my work. Highly recommended for anyone looking to upskill!

  • Verified Review

Aalaa Shbair

The experience at Airtics College has been tremendous for me. It has illuminated my path and opened the way for me to become a developer of solutions in my workplace. I cherish every moment of this online learning experience and the supportive community of instructors and peers.

  • Verified Review

Muhammad Fatouh

Airtics offered a great platform that allowed me to take a meaningful step forward in data science while balancing my demanding job as a telecom engineer. If you have a busy schedule and struggle with work-life balance, I encourage you to find a flexible platform like Airtics to pursue your goals.

  • Verified Review

Al Tayyab Bakhsh

Coming from a non-technical background in marketing, switching to data science was challenging. The faculty at Airtics was incredibly helpful, especially my mentor Miss Piyali, who guided me with patience every step of the way. Their mentorship gave me the confidence to succeed.

  • Verified Review

Dilnawaz Qureshi

Airtics provides an impressive curriculum for Python Full Stack development that is both well-structured and up-to-date. This comprehensive approach ensures we acquire a thorough understanding of the field and are well-prepared for real-world challenges.

  • Verified Review

Charuhaas Shenoy

Airtics offers a truly transformative learning experience. The course content is up-to-date, the mentors are incredibly supportive, and the flexibility of the online platform made it easy to balance with my work. Highly recommended for anyone looking to upskill!
  • Verified Review

Madonna Ghanem

The resources provided by Airtics for AI and ML students are top-notch. The institute has a well-equipped virtual lab with the latest software, allowing us to experiment with complex algorithms. The online library offers a wide range of reference materials and research papers.
  • Verified Review

Dhruv Narse

Airtics provides a conducive learning environment for data analytics students. They have experienced faculty, and provide access to the latest software and tools used in the industry. This ensures that we are well-prepared for our future careers in the field.

  • Verified Review

Real-World Capstone Projects

Apply your data science skills to solve real business challenges through hands-on projects. Choose from our curated capstone projects or bring your own organizational problem to create a portfolio that showcases your expertise to future employers.
 

Insurance Pricing Forecast

Build predictive models for insurance premium pricing using actuarial data, customer demographics, and risk assessment factors

 

Store Sales Forecasting

Analyze retail datasets to predict future sales trends, seasonal patterns, and customer behavior using time series analysis and forecasting techniques.
 

Airline Dataset Analysis

Process large aviation datasets to predict flight delays, optimize operations, and analyze patterns that impact airline performance and customer satisfaction.

Learn from Industry Leaders & Experts

Learn from the best in the field. Our faculty combines academic brilliance with industry expertise, featuring PhD holders, senior data scientists, and AI researchers from top organizations.
Ms. PIYALI MONDAL - B&W
Ms. Piyali Mondal Head of Department
Ms. Priti Mondal - B&W
Ms. Priti Mondal Associate Faculty
Dr. Abdullah El Nokiti - B&W
Dr. Abdullah El-Nokiti Professor
Dr. Meraj Inamdar - B&W
Dr. Mohd Merajuddin Inamdar Professor
Dr. Madhavi Vaidya - B&W
Dr. Madhavi Vaidya Professor
Dr. Poonam Chaudhari - B&W
Dr. Poonam Chaudhari Professor
Dr. Anup Maurya - B&W
Dr. Anup Kumar Maurya Professor
Dr. Milan Joshi - B&W
Dr. Milan Amrutkumar Joshi Industry Expert
Dr. Mohamed Elhaw - B&W
Dr. Mohamed Elhaw Industry Expert
Dr. Pradeep Tiwari - B&W
Dr. Pradeep Tiwari Industry Expert
Global Student Community

Students from 60+ Countries Worldwide

Frequently Asked Questions

Have questions about the Advanced Program in Data Analytics? We’ve compiled answers to the most commonly asked questions to help you make an informed decision about your learning journey. From technical requirements to course structure, find everything you need to know about this comprehensive 6-month program.

Is there any reason for choosing Python over R?
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.
Do you need to be an Expert at the Advanced Excel level to do an Analyst course or if have basic Excel skills will that be ok?
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’.
What is the main difference between the management and analyst pathways? Is there much overlap? And how do I decide if I feel I'm somewhere in between the two?
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.
In the presentation of results stage, will Power BI be used, or what other system/tool will be used?
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.
How long will the course take to complete?
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 kind of support will I receive during the program?
You’ll receive 24/7 support and LMS access, live instructor-led training sessions, dedicated mentorship, and access to a community of peers and industry experts.
Will I receive a certificate upon completion?
Yes, you’ll receive an internationally recognized certificate from Acacia University Professional Development upon successful completion of the program.
Are there any prerequisites for this course?
No prior experience is required! Basic computer skills like managing files, navigating the Internet, and running programs will be useful. The program is designed to teach you everything from the basics.

Still have questions?

If you have any other questions or need further information about our Advanced Program in Data Analytics, don’t hesitate to contact us. Our admissions team is here to help you take the next step in your data science career.

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