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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.
Data analytics is revolutionizing industries by enabling data-driven decision-making, optimizing operations, and enhancing customer experiences. In healthcare, it improves patient care and diagnoses; in finance, it aids fraud detection and risk management; in retail, it personalizes customer experiences; and in manufacturing, it boosts efficiency through predictive maintenance. Across sectors, data analytics drives innovation, reduces costs, and creates competitive advantages.
In data analytics, key in-demand skills include proficiency in MySQL, Python programming, expertise in data visualization tools such as Power BI and familiarity with big data tools, and abilities in critical thinking and effective communication.
Data analytics provides excellent career growth, allowing progression from entry-level roles such as Data Analyst, Business Analyst, and Senior Analyst to specialized positions like Data Specialist. Professionals can advance by specializing in different industries and technologies for continued growth.
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.
With 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.
Data 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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With 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.
Students Enrolled
10000+
Duration
30 Day
Start Date
2025-07-06
Language
Hinglish
Course Type
Online
Internship
Up to 12 Months
Certifications
Yes
Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of the skilledUp.
With 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.
Data 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.
With 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.
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.
Analyst/Sr. Analyst
Designs, develops, and manages scalable data pipelines using MySQL and Python, ensuring data quality and accessibility for analysis and reporting purposes across teams.
Retrieve and analyze sales data from large e-commerce datasets using SQL queries to identify trends, monitor performance, and optimize sales operations.
Extract and analyze employee details and payroll summaries using SQL to improve HR decision-making and streamline payroll operations.
Use regression techniques to analyze player performance metrics, uncover trends, and assist teams in data-driven decision- making for better results.
Explore employee turnover data with hypothesis testing to identify key factors influencing retention and develop effective workforce strategies.
SkilledUp’s structured curriculum and real-world projects helped me crack Infosys. The mock interviews and resume reviews were spot-on!
The Python and Tableau training was top-notch! Got personal guidance at every step. Big thanks to the team for helping me secure a role at Wipro.
I was completely new to data science, but the mentorship and hands-on assignments made learning so smooth. Now working as a Data Analyst at Capgemini!
Clear explanations, daily doubt sessions, and industry projects made a huge impact. Cracked my interview with EY within weeks of completing the course.
Every concept was taught with clarity and application. The career support was excellent—I landed a role at Cognizant right after finishing the program!
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The course covers MySQL, BigQuery, Python Programming, Power BI, Data Visualization, 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.
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 welcomes students, working professionals, and individuals from both tech and non-tech backgrounds who are passionate about building a career in the tech and data analytics field. Whether you're aiming to transition into the tech industry or elevate your skillset, this course is your perfect opportunity!
