Most IT Demanding Course

Data Analytics with Python: Numpy & Pandas

This 8-hour intensive course is designed for beginners and intermediate learners who want to master Data Analytics using Python with a focus on the powerful libraries Numpy and Pandas. Participants will learn how to manipulate, analyze, and visualize data efficiently, working with real-world datasets. Key topics include:

  • Numpy for numerical operations and array manipulation.
  • Pandas for data cleaning, transformation, aggregation, and advanced operations.
  • Time series analysis, data visualization, and how to derive actionable insights from data.
By the end of this course, participants will have hands-on experience with key data analytics tasks, from data preprocessing and exploration to performing advanced analysis and creating visualizations. Whether you're working with small or large datasets, this course will provide the tools you need to become proficient in data analysis using Python.

Type
Online

Admissions closing on
29-Nov-2024

Duration
8 Hours


For enquiries WhatsApp:+91 628 965 3148


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Data Analytics with Python: Numpy & Pandas

Course Snapshot


5 LPA

Avg Salary

2k+

Students Learned

9 LPA

Highest Salary

  •   8+ Hours online live instructor-led training
  •   Program experts from industry
  •   1+ Hands-on Projects and Case Studies
  •   Curriculum includes beginners to advance level
  •   Get experience with 3+ tools



Key Highlights Of Data Analytics with Python: Numpy & Pandas

What does this course have to offer?


  • 10+ Hours of Recorded Sessions
  • Study at your own pace
  • Instructor-Led classes
  • Get experience with 3+ tools
  • Curriculum includes beginners to advnace level course
  • Scholarships & Financial Assistance
  • Top Faculty & Industry Experts





Data Analytics with Python: Numpy & Pandas Program Career Outcomes

What our learners have achieved?

A quick summary of the placement support received by this program's alumni


5/6

Learners saw positive career growth

5 LPA

Avg. Salary

8+

Hours of Career Training

300+

Hiring Partners





Data Analytics with Python: Numpy & Pandas Program Certification

Earn valuable credentials

Get certified and make a stand-out resume upon graduating from our job-ready Data Analytics with Python: Numpy & Pandas Program






Data Analytics with Python: Numpy & Pandas Course Syllabus

What will you learn?

Industry-relevant curriculum taught by leading faculty & industry experts using videos, case studies, hands-on projects and live online sessions


30+ Learning Hours

1+ Projects and Case Studies

8+ Hours of Live Sessions

3+ Tools






Data Analytics with Python: Numpy & Pandas Course Projects

Learn by Doing

Learn from India's leading Data Analytics with Python: Numpy & Pandas instructors


1+

Industry projects to choose from




Whom will you learn from?


Data Analytics with Python: Numpy & Pandas Program Instructors

Industry's Working Professionals




Data Analytics with Python: Numpy & Pandas Learner Services

How will Tutorops support you?

Learning Support

Industry Mentors

Receive unparalleled guidance from industry mentors, teaching assistants and graders

Receive one-on-one feedback on submissions and personalised feedback on improvement

Student Support

You can write to us via admin@tutorops.com or tutorops24@gmail.com for urgent queries drop a message on our WhatsApp number +91 628 965 3148.



Data Analytics with Python: Numpy & Pandas Alumni

What Our Learners Have To Say

Priya S.

Data Analyst

This course exceeded my expectations! I was familiar with Python basics but never worked extensively with Numpy or Pandas. The course is incredibly well-structured, and the hands-on projects helped me apply everything I learned in real-world scenarios. I especially loved the time series analysis section - it's a skill I can use in my job immediately. The instructor was knowledgeable and answered all our questions. Highly recommend this for anyone looking to dive deeper into data analytics!

Amit K.

Marketing Analyst

I was looking for a course that would teach me how to manipulate and analyze large datasets for marketing insights, and this course delivered just that. The practical sessions with Numpy and Pandas gave me the confidence to clean, transform, and visualize data efficiently. The concepts of grouping and merging data were particularly helpful for my work in customer segmentation. The course is beginner-friendly but also includes advanced topics, which made it really valuable.

Rohan M.

BI Developer

As a Business Intelligence developer, I deal with datasets on a daily basis, but I always felt limited by Excel. This course was a game-changer! Learning Pandas to manipulate and analyze data in Python has made me much more efficient. The section on data aggregation, groupby operations, and pivot tables has drastically improved my ability to generate actionable insights. The course content was spot-on for professionals in data-heavy roles.




Online Data Analytics with Python: Numpy & Pandas Course Fees

Invest In Your Success

8 Hours
Course Fees

INR 999/-

Inclusions

  • Data Analytics with Python: Numpy & Pandas Course Material that you access for upto 1 years

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Data Analytics with Python: Numpy & Pandas

How To Apply

Please find below the detailed steps to be followed as a part of the admission process


Eligibility
Candidate can be 12th, Diploma & College Graduates, 18-28 years.

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Data Analytics with Python: Numpy & Pandas

FAQ

Why take up a Data Analytics with Python: Numpy & Pandas course from Tutorops?
Data Analytics with Python: Numpy & Pandas course is one of the most in-demand job roles for all companies today. There are over 30,000+ job openings for various roles in the field of Data Analytics with Python: Numpy & Pandas. And what recruiters really want are skills. But being a relatively new field, it’s important that you take up the best Data Analytics with Python: Numpy & Pandas course that is as beginner-friendly as it is industry-relevant.
What kind of projects will I be expected to complete in a Data Analytics with Python: Numpy & Pandas course for beginners?
To make easy to understand for beginners, this course covers multiple projects that give you hands-on experience. These projects include a implementation project, a Regression project where you will build your own predictive model and an EDA project to name a few. Each of these projects is based on a real-world scenario.These projects will be Live and will give you the opportunity to apply your skills even as you take your first step into the industry.
How long will I be able to access the Data Analytics with Python: Numpy & Pandas course content?
The learning content will be available to access for 1 years post-completion of your course.