Data Analytics
Placement Assured Course
Data analytics expertise involves analyzing and extracting insights to drive strategic decisions. It includes data acquisition, management, visualization, statistical analysis, and using BI tools. A skilled analyst cleans data, builds models, creates dashboards, and communicates findings, enabling businesses to uncover trends, improve performance, and make data-driven decisions.
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ABOUT Data Analytics COURSE OVERVIEW
Data Analytics is a dynamic field that combines a diverse set of skills and tools to derive meaningful insights from data, empowering businesses to make informed decisions. At skilledUp, our Data Analytics Program is designed to equip you with comprehensive expertise, starting from the basics and progressing to advanced techniques.
This program emphasizes hands-on learning through real-time live training projects, ensuring you gain practical experience in the complete data analytics lifecycle. From the very first day, we focus on interview preparation, resume building, and optimizing your social media profiles to create a strong professional presence. Additionally, we help you build a compelling job profile that aligns with industry requirements.
Our primary objective is to ensure your career readiness and support your placement within the course duration. While this is not a job-guaranteed program, it is meticulously crafted to secure your future by helping you complete industry-relevant projects and assignments on time.
By combining theoretical knowledge with practical application, this program aims to give you a competitive edge in the job market. Whether you’re starting fresh or advancing your career, we’re committed to empowering you to achieve your goals in Data Analytics.
Transform your ambitions into achievements!
Join now and start your Data Analytics journey!
The scope of Data Analytics is immense and rapidly expanding as businesses increasingly depend on data-driven insights for strategic decision-making. With the rise of big data and technological advancements, the demand for skilled data analysts and business analysts is at an all-time high. This demand spans industries such as healthcare, finance, retail, manufacturing, telecommunications, and many others.
In data analytics, key in-demand skills include proficiency in MySQL, Python programming, expertise in data visualization tools such as Power BI and Looker Studio, strong statistical knowledge, familiarity with big data tools, and abilities in critical thinking and effective communication.
This course offers personalized training, interview preparation from day one, real-time student support, placement assistance throughout the course, monthly mock interviews, mentorship, and more, ensuring a comprehensive and effective learning journey.

Vijay Narayan Singh
FounderWith 11+ years of comprehensive and in-depth experience as a Data Scientist, Data Analyst, and Business Analyst demonstrating a distinctive combination of technical breadth, business acumen, critical analysis, and decision-making. Worked on multiple products and categories. Having experience of 7+ years in educating people and helping them to make a career transition.

Aman Chauhan
Data Scientist At skilledUpData Science Expert with over 2 years of teaching experience, specializing in Data Science, Data Analytics, and Business Analytics. Proficient in MySQL, Data Visualization, Big Data, Python, Statistics, Machine Learning (ML), Natural Language Processing (NLP), Deep Learning (DL), and Artificial Intelligence (AI), among other advanced areas.
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Rahul Kumar
Data Analyst At GenpactWith 8+ years of extensive experience as a Data Scientist, Data Analyst, and Business Analyst, I bring a unique blend of technical expertise, business insight, critical analysis, and decision-making. I have worked across various products and categories and have 4+ years of experience educating and guiding individuals through successful career transitions.
Career Transitions
First Milestone!
The mock interviews and career support at AT Learning were outstanding. The hands-on internship projects allowed me to apply my learning in real-world scenarios, boosting my confidence and preparing me to secure a high-paying Machine Learning role. AT Learning practical approach was key to my success and career growth.
First Milestone!
As a fresher, entering the field of analytics felt overwhelming, but AT Learning comprehensive course structure made the transition seamless. Their step-by-step approach and expert guidance prepared me for every aspect of Data Science. I highly recommend AT Learning to anyone serious about pursuing a career in Data Science.
Meet the Data Analytics Training Mentors
What role does a Data Analytics play ?
Data Analyst
Collects, cleans, and analyzes large datasets to identify patterns, trends, and actionable insights, creating comprehensive reports to support informed decision-making and drive business success.
Business Analyst
Develops and maintains Power BI dashboards to visualize key metrics, analyze business performance, and deliver insights that align with strategic goals and operational improvement initiatives.
Data Specialist
Designs interactive dashboards and compelling data visualizations using Power BI to effectively communicate complex information, enabling stakeholders to understand insights and make data-driven decisions.
Fees
- Select your ideal time slots based on your availability and enjoy immersive, personalized training crafted specifically to suit your needs!
Rs. 15000.00
Enroll Now
Course Curriculum
Data Analytics Project
Excel for Data Cleaning and Reporting
Transform raw data into insights using Excel tools like VLOOKUP, pivot tables, and filters to enhance efficiency and organize datasets effectively.
Sales Data Analysis for Business Insights
Analyze sales data to identify trends, growth, and performance. Use advanced Excel functions such as Power Query, charts, and pivot tables to visualize and summarize data.
Product Performance Analysis
Create a Looker Studio report to track product sales, customer behavior, and trends with real-time data visualizations for actionable insights and business performance monitoring.
Library Database System
Design a relational database for managing books, authors, patrons, and transactions in a library. Optimize with SQL queries for efficient data retrieval and performance.
University Database System
Design a PostgreSQL database to manage university data, including student registrations, courses, and grades, ensuring efficient tracking and retrieval of academic records.
Financial Reporting Dashboard
Create a detailed financial reporting dashboard in Power BI to monitor profit margins, track expenses, and assess overall financial health with interactive visualizations and key metrics.
Customer Churn Prediction
Use classification algorithms like logistic regression or decision trees to predict customer churn based on historical data and user behavior patterns.
Data Analytics Certification Course Reviews
Our Alumni: Leaders, Innovators, and Achievers
Frequently Asked Questions (FAQs)
The course covers MySQL, BigQuery, Python Programming, Power BI, Data Visualization, Statistics, Pandas, NumPy, Matplotlib, Seaborn, and more, focusing on essential tools and techniques for data analysis and visualization.
No, prior experience is not required. This course is designed for beginners, and you'll be guided step-by-step through each topic.
The course lasts for 4 months and is delivered through live, instructor-led sessions, along with pre-recorded content. You can attend sessions on weekends.
The course includes 40+ real-world industry projects and internship opportunities for up to 1 year, giving you hands-on experience in applying data analysis techniques.
You will receive career guidance, mock interviews, resume building, and placement assistance throughout the course to help you secure a job in the data analytics field.
Yes, you will have lifetime access to the course materials and the community dashboard for continued learning and support.
To apply, simply visit the course registration page and sign up. If you miss a live session, you will have access to the recording to catch up on the missed content.
This course is open to graduates, final-year students, working professionals, and both tech and non-tech individuals who are eager to build a career in the tech and data analytics domain. If you're looking to transition into the tech industry or enhance your skills, this course is for you!