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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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Don't let this gap widen
Without Pandas, you lose 40% of time on tedious manual tasks like sorting thousands of Excel rows, multiplying human errors by up to 25% according to Gartner.
Your analyses remain superficial, missing crucial insights that boost sales by 15-20% for trained competitors.
70% of junior data job offers require Pandas from 2024, risking to keep you in junior positions or being overtaken by agile profiles.
Imagine missing a key project due to a poorly cleaned dataset, costing thousands of euros to your team.
Invest now to analyze quickly, decide better, and advance in your career without regrets.
The Training Pandas - Analyze Your Data Efficiently in Python training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training Pandas - Analyze Your Data Efficiently in Python training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training Pandas - Analyze Your Data Efficiently in Python training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into Pandas from the morning by installing Anaconda and Jupyter Notebook, import your first library, create Series from lists and dictionaries, then DataFrames from real data like a sales CSV file. Explore indexes, select columns with loc and iloc, perform your first filters, and end with a practical exercise on an e-commerce dataset to export a cleaned report, gain immediate confidence.
Master cleaning by handling missing values with dropna and fillna on a banking customers dataset, apply custom functions via apply and lambda, merge tables with merge and concat to recreate a complete history, manipulate dates with to_datetime, and carry out a concrete case on web logs to transform raw data into an actionable table, feel the power of Pandas live.
Move to analysis by grouping sales by region with GroupBy and agg, calculate means, medians, and standard deviations on a marketing dataset, create dynamic pivot tables with pivot_table, explore correlations to detect hidden trends, test on an HR case with salaries and performance, produce quantified insights ready to present, transform your data into impactful business decisions.
Conclude by visualizing your analyses with Pandas-Matplotlib plot, generate histograms, bars, and scatters on a health dataset, combine into an interactive dashboard via subplots, integrate Seaborn for pro charts, finalize a complete project on real Kaggle data with a deliverable report, leave with a concrete portfolio and job-ready skills to boost your data career.
Target audience
Beginner data analysts, Python developers, business analysts upskilling in data analysis.
Prerequisites
Python basics: variables, lists, loops, functions.
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