Data Analytics using Python
Empower Your Future with Data Analytics Using Python
Data is the backbone of modern businesses, driving decisions and strategies across industries. Whether you’re an aspiring analyst ready to kickstart your journey or a seasoned professional looking to expand your skill set, our Data Analytics Using Python course is your gateway to success.
This comprehensive program equips you with the tools and knowledge to transform raw data into actionable insights, giving you a competitive edge in today’s data-driven world.
With Python as your foundation—the world’s leading programming language for data analytics—you’ll gain proficiency in coding, database management through SQL, data wrangling, analysis, and visualization. Our curriculum focuses on real-world applications, ensuring that you develop hands-on experience through projects that mirror industry challenges.
Who Should Enroll?
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Students:
Build essential skills to excel in academics and prepare for a rewarding career in data analytics.
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Professionals:
Transition to a high-demand role or upskill to elevate your career trajectory.
Unlock the power of data and take the next step toward a brighter future with our Data Analytics Using Python course. Join us today and transform the way you see and use data!
Python Programming
Python Basics, Data Structures, String Operations, Programming Fundamentals ( Iteration-loops and Conditional Constructs) Libraries, List/Tuples, Dictionary, Sets and Loading and saving data in text files.
Working with Numpy Arrays
Intro to Scientific Computing, Working with n-dimensional Arrays, Performing Statistical, Set, Sorting Operations, Numpy Broadcasting
Data wrangling & Exploratory Data Analysis (EDA) in Python using Pandas
Working with Data Frames, Data Ingestion, Data Cleaning, Data Visualization with Pandas
DataBase Management System(DBMS)-MySQL
Understand and explain the roles of DBMS, Use of the Structured Query Language (SQL), Write DDL statement to Create, modify and delete database/ schema, tables, and indexes, MySQL datatypes, unique key, primary key, foreign key and table constraints, Write DML statement to create, modify and delete tables and Retrieve data from the tables through queries and sub-queries, Write DCL statement to undo work or permanently save work to database, Control Transactions, Write DML statement to create, modify and delete tables and Retrieve data from the tables through queries and sub-queries, Work with MySQL built-in functions.
Data Visualization using Matplotlib & Seaborn Libraries
Intro to Data Visualization, Plotting Datasets using matplotlib & Seaborn library, Interactive Visualization of World Data
Working on real life industry based Projects
Health care / Banking / Telecom/ Retail & Food Industry Projects
Course Duration
12 Weeks
Course Fee for group classes
INR 25,000 (Python+SQL+DA)