Technology & IT

Learn from : Niket Choudhary
Python, SQL, Power BI, Machine Learning, Data Structures and Algorithms, Database Management
Course Language: English
Course Fee
$109.00

Course Fee
$109.00
Instructor Bio:
With over nine years of experience in the market research industry, I have built a robust foundation in data analysis, data preprocessing, and uncovering actionable business insights that drive informed decision-making. My professional journey has been characterized by a passion for transforming complex data into meaningful narratives that not only inform but also inspire strategy and performance improvement. Throughout my career, I have worked across various facets of market research, from survey data analysis and consumer behavior tracking to dashboard development and performance reporting. My analytical approach combines deep statistical knowledge with practical business acumen, enabling me to pinpoint trends, detect patterns, and solve real-world business problems efficiently. I am highly proficient in a range of analytical and visualization tools. Power BI is one of my core strengths, where I’ve successfully built dynamic KPI dashboards, automated reports, and applied DAX and Power Query to perform in-depth data cleaning and transformation. These dashboards have helped stakeholders at various levels make timely and data-backed decisions. My ability to turn raw data into interactive visual stories has consistently added value across projects. SQL is another key area of expertise, where I utilize aggregate functions, joins, window functions, and sub-queries to retrieve, manipulate, and manage large datasets from relational databases. My ability to write clean, efficient queries has often been instrumental in speeding up analysis and ensuring data integrity. In recent years, I’ve expanded my skill set to include Python and machine learning, allowing me to bring predictive capabilities to my work. I use libraries such as Pandas and NumPy for data preprocessing and transformation, Scikit-learn for building and evaluating models, and Matplotlib and Seaborn for visualization. This technical proficiency has enabled me to explore deeper insights, such as customer segmentation, churn prediction, and trend forecasting, adding another layer of strategic value. What sets me apart is my ability to communicate data-driven insights in a clear and compelling manner. Whether it’s presenting to executives or collaborating with cross-functional teams, I strive to ensure that data doesn’t just stay in spreadsheets or dashboards—it becomes a strategic asset. I pride myself on my attention to detail, critical thinking, and a continuous learning mindset that keeps me aligned with evolving data trends and technologies. Overall, I bring a unique blend of analytical rigor, technical skill, and business understanding to every project. My goal is always to help organizations make smarter decisions through data, uncover opportunities for growth, and deliver measurable outcomes.
VIEW FULL PROFILE4 Weeks
15
DAILY
Course Description:
This 15-day intensive program is designed to provide beginners with a solid foundation in Python programming. Whether you're new to coding or looking to add Python to your skill set, this course will guide you through the essentials with hands-on practice and real-world examples.
Starting from the basics, you’ll learn Python syntax, data types, control structures, functions, and modules. As the course progresses, you'll explore key topics such as file handling, error management, and working with libraries like math, random, and datetime. By the end of the program, you'll build small projects to apply your knowledge, preparing you for more advanced programming or data-focused paths.
Key Topics Covered:
Introduction to Python and setting up the environment
Variables, data types, and basic operators
Control flow: conditionals and loops
Functions and modular programming
Working with strings, lists, tuples, sets, and dictionaries
File handling and exception handling
Introduction to Python libraries and modules
Final mini-projects and problem-solving practice
Course Curriculum:
Introduction to Python and setting up the environment
Variables, data types, and basic operators
Control flow: conditionals and loops
Functions and modular programming
Working with strings, lists, tuples, sets, and dictionaries
File handling and exception handling
Introduction to Python libraries and modules
Final mini-projects and problem-solving practice
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