DataXSchool Learning Centre

Advanced Data Analytics Engineering Program

The Advanced Data Analytics Program is designed to equip students with the technical and analytical skills needed to extract meaningful insights from data. This comprehensive program covers a range of industry-relevant tools and techniques, ensuring that graduates are well-prepared for data-driven decision-making roles.

SQL for Data Extraction & Manipulation: Master the fundamentals of structured query language (SQL) to retrieve, clean, and manage data from relational databases efficiently.
Python for Data Analysis & Automation: Learn how to use Python libraries like Pandas, NumPy, and Matplotlib for data wrangling, statistical analysis, and visualization.
Excel for Business Analytics: Develop proficiency in using Excel functions, PivotTables, and Macros to analyze and interpret datasets.
Tableau & Power BI for Data Visualization: Gain hands-on experience in building interactive dashboards and reports using Tableau and Power BI, helping businesses uncover actionable insights.

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Advanced Data Analytics Engineering Program

The Advanced Data Analytics Program offers extensive training in essential tools such as SQL, Python, Advanced Excel, Tableau, and Power BI, equipping students with the skills to analyze large datasets, perform predictive analytics, and develop interactive dashboards. Students will gain hands-on experience with real-world data, learning how to extract valuable insights, visualize trends, and make data-driven decisions. Upon completion, graduates will be prepared for high-demand roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, and Analytics Consultant. With data becoming a core driver of business strategy in industries like finance, healthcare, marketing, and technology, this program opens up a wealth of career opportunities, positioning students for success in the rapidly growing field of data analytics.

Course Curriculum

Module 1: Introduction to Data Analytics & Tools Overview

Introduction to Data Analytics concepts and its importance in decision-making.
Overview of key tools: SQL, Python, Advanced Excel, Power BI, and Tableau.
The role of a Data Analyst and career opportunities.
Introduction to Data Wrangling, Data Cleaning, and Data Transformation.
Overview of real-time project and its applications in the industry.

Module 2: SQL for Data Analysis

Basics of SQL: SELECT, JOIN, WHERE, and aggregate functions.
Writing complex queries to extract and manipulate data.
Data filtering, sorting, and grouping.
Subqueries, unions, and set operations in SQL.
Advanced SQL functions for data analysis (window functions, CTEs).
Real-time project: Analyzing and reporting data using SQL queries.

Module 3: Python for Data Analytics

Introduction to Python and essential libraries (Pandas, NumPy, Matplotlib).
Data cleaning and manipulation with Pandas.
Data visualization techniques using Python (Matplotlib and Seaborn).
Performing statistical analysis with Python (hypothesis testing, regression).
Introduction to machine learning for predictive analytics.
Real-time project: Building data models and performing analysis using Python.

Module 4: Advanced Excel for Data Analysis

Advanced Excel functions: VLOOKUP, INDEX/MATCH, and pivot tables.
Working with Excel charts, data visualization, and conditional formatting.
Power Query and Power Pivot for advanced data manipulation.
Automation of repetitive tasks using Excel macros and VBA.
Data analysis techniques for large datasets using Excel.
Real-time project: Analyzing business data and creating actionable insights using Excel.

Module 5: Reporting and Visualization with Power BI & Tableau

Introduction to Power BI: data import, data cleaning, and building dashboards.
Data modeling and creating visualizations in Power BI.
Advanced Power BI features: DAX functions, calculated columns, and measures.
Introduction to Tableau: Connecting data sources and building interactive dashboards.
Best practices for creating compelling visualizations and reports in Tableau.
Real-time project: Building dynamic, interactive reports and dashboards with Power BI/Tableau.

Module 6: Career Readiness, Interview Preparation & Real-Time Project

Resume building tailored to Data Analytics roles.
Job search strategies and optimizing LinkedIn profiles for analytics roles.
Interview preparation: Common interview questions and technical assessments.
Mock interviews with feedback to improve interview performance.
Real-time project: End-to-end data analytics project implementation.
Interview assistance and career guidance to help land a Data Analyst job.

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Students Reviews

Simanchal Nayak

Analyst Consultant

Leaving my teaching career and stepping into IT felt like a huge challenge. Today, I'm proud to be joining Accenture, Pune. Thank you, DataXSchool and Srikanta Sir, for your unwavering support, expert guidance, and for helping me turn my career dream into reality.

Himanshu Raut

Database Engineer

I'm happy to share that I have been placed as a Database Engineer at NTT DATA, Bengaluru .A heartfelt thanks to DataXSchool and Srikanta Sir for their excellent training, practical learning, and continuous support throughout my journey. The guidance and placement assistance helped me achieve my career goal.

Jogeswar Rao

Senior Consultant

I'm grateful to DataXSchool and Srikanta Sir for helping me begin my IT career. As a B.Sc graduate, I'm excited to be placed at Wipro Technology, Mumbai. Thank you for your excellent guidance and support!

Rajesh Patra

Data Engineer

After a long career gap, I had almost lost hope. Today, I'm grateful to begin a new chapter at Rakuten, Hyderabad. This journey has taught me that with determination and the right opportunity, it's never too late to start again

Gopal P

Data Analyst

As a B.Tech Mechanical graduate, I never imagined I'd transition from a low-paying construction job to the IT industry. Today, I'm proud to start my new journey with **TCS, Bhubaneswar**. Hard work, persistence, and believing in myself made this dream come true.

Alok Rath

Techical Consultant

After years of preparing for government jobs, I finally found my path. Happy to start my IT career with Deloitte, Bhubaneswar. Never stop believing—your breakthrough may be closer than you think.

Jay Prakash Meher

Senior Analyst Consultant

As a B.Sc student with no technical background and no coding knowledge, I never thought I could build a career in IT. Today, I'm proud to be placed at Accenture, Bengaluru. This journey proved that with dedication and the right guidance, anything is possible.

Himesh Raut

Database Consultant

After struggling in a low-paying marketing job, I finally found my breakthrough. Happy to start my new IT career with a Chennai-based company (WFH). Every struggle is worth it when you never give up.

Ganesh Rao

Cloud Database Adminstrator

After long days in a construction field job with a low salary, I decided to change my future. Today, I'm proud to start my IT career with Rackspace, Pune. Every struggle was worth it.

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