Python for Data Analyst: Mastering Pandas – Live Training
Embark on a transformative journey into the realm of data analysis with our comprehensive course, ‘Python for Data Analysis: Mastering Pandas.’ Over 15 intensive hours, dive deep into Python programming and its pivotal role in handling data. Explore the power of Pandas, unraveling its core components—Series, DataFrames, and Indexing—while mastering essential data wrangling techniques. Through hands-on exercises and real-world examples, gain proficiency in cleaning, transforming, and exploring data with Pandas. Elevate your analytical prowess with advanced techniques such as indexing, reshaping, and working with text data. Cap off your learning journey by harnessing Pandas’ built-in plotting capabilities to visualize data and glean actionable insights. Join us and unlock the full potential of Python for data analysis.
About the Instructor:
| Abhishek has nearly 12 years of experience in various domains like life sciences, finance and accounting in solving business problems using Data Science, Business Analytics and Business intelligence. Mostly working with CTOs, Key IT decision-makers, and Professionals, He always focused on building capacity, knowledge and solutions in Data Science, Business Analytics and Business Intelligence. He has 4+ years of experience in training freshers and corporate employees. In his Knowledge sharing trained more than 300+ Students. He has given a lot of corporate trainings for different organizations on different courses like Python, Data Science and Power BI. |
Live Sessions Price:
For LIVE sessions – Offer price after discount is 99 USD 79 59 USD Or USD7900 INR 5900 INR 4900 Rupees.
OR
Free Demo On:
Learners in India: 24th July @ 7:30 AM to 8:30 AM (IST)
Learners in the US: 23rd July @ 10 PM to 11 PM (EST)
Learners in the UK: 24th July @ 3 AM – 4 AM (BST)
Class Schedule:
For Participants in India: Monday to Friday @ 7:30 AM to 8:30 AM (IST)
For Participants in the US: Sunday to Thursday 10 PM to 11 PM (EST)
For Participants in the UK: Monday to Friday 3 AM – 4 AM (BST)
What student’s have to say about Abhishek:
| This course is fantastic for beginners! I had no prior experience with Python or Pandas, but now I feel confident in my ability to clean, transform, and analyze data. – Chandra Kumar
I highly recommend this course to anyone looking to upskill in data analysis. The content is well-structured, and the pacing is just right. I particularly enjoyed the sections on exploratory data analysis and data visualization with Pandas. – Shyam This course exceeded my expectations! The instructors are knowledgeable and engaging, and the course material is presented in a clear and concise manner. I appreciated the emphasis on hands-on learning, which allowed me to immediately apply what I learned to real-world datasets. – Mounika As someone with a background in statistics, I found this course incredibly valuable. It provided a solid foundation in Python programming and equipped me with practical skills for data manipulation and analysis. – Rosy “I’ve taken other online courses on Python and data analysis before, but none compare to this one. The depth of coverage on Pandas is unparalleled, and the instructors do a great job of breaking down complex concepts into easy-to-understand modules. – Sanny |
Who can enroll for this course?
- Beginners in Data Analysis: Individuals who are new to data analysis and want to learn how to use Python and Pandas for handling and analyzing data effectively.
- Students and Professionals: Students from various academic backgrounds and professionals from fields such as business, finance, healthcare, and marketing who wish to enhance their data analysis skills.
- Data Enthusiasts: Anyone interested in exploring the world of data analysis and seeking practical knowledge in using Python’s Pandas library to manipulate, clean, and visualize data.
- Aspiring Data Scientists: Individuals aiming to pursue a career in data science or related fields who want to build a strong foundation in Python programming and data manipulation techniques using Pandas.
- Existing Python Users: Those who already have basic knowledge of Python but want to specifically focus on data analysis and gain proficiency in Pandas for more advanced data manipulation and visualization tasks.
What will I Learn by end of this course?
- Master Python basics for data analysis.
- Expertly handle data using Pandas.
- Clean, transform, and explore data effortlessly.
- Create insightful visualizations for data analysis.
- Apply learned skills to real-world datasets confidently.
- Be well-prepared for data analysis tasks in various fields.
Salient Features:
- Approximately 15 Hours of Live Training
- Every session gets recorded and lifetime access to these videos will be given.
- Course Completion Certificate
Course syllabus:
- Introduction to Python for Data Analysis (1.5 hours)
- Introduction to Python programming language.
- Overview of Python’s role in data analysis.
- Introduction to Pandas: Series, DataFrames, and Indexing (2 hours)
- Explanation of Pandas Library.
- Understanding Series, DataFrames, and Indexing.
- Data Wrangling with Pandas: Cleaning and Transformation (3 hours)
- Handling missing Data
- Data cleaning techniques
- Transforming data using Pandas.
- Exploratory Data Analysis (EDA) with Pandas (2.5 hours)
- Performing descriptive statistics.
- Exploring data distributions.
- Visualizing data with Pandas.
- Advanced Data Analysis Techniques with Pandas (2.5 hours)
- Advanced indexing and selection.
- Reshaping and pivotng data.
- Working with text data.
- Data Visualization with Pandas (3.5 hours)
- Basic visualization using built-in Pandas plotting capabilities.
- Customizing plots for better insights.
Live Sessions Price:
Call or Whatsapp Kumar gupta @ +91-9133190573
OR
For LIVE sessions – Offer price after discount is 99 USD 79 59 USD Or USD7900 INR 5900 INR 4900 Rupees.
Sample Course Completion Certificate:
Your course completion certificate looks like this……
Course Features
- Lecture 0
- Quiz 0
- Duration 15 hours
- Skill level All levels
- Language English
- Students 0
- Assessments Yes
