Basics to Advanced Exploratory Data Analysis Python One of the best practices used in today’s data science is exploratory data analysis python (EDA Python). Individuals usually don’t know the difference between data analysis and exploratory data analysis before beginning a career in data science. The difference between the two is not very large, but both have different functions. Exploratory data analysis is a supplement to inferential statistics, with laws and formulas preferring to be quite static. At an advanced stage, EDA Pyhton involves looking at the data set from various angles and explaining it and then summarizing it. Data visualization is used by EDA Python to draw concrete patterns and observations. It also includes the preparation of data sets for review by the removal of data irregularities. Based on EDA results, business decisions are often taken by businesses, which can have consequences later on.
Advanced Exploratory Data Analysis
Takshila Learning has an advanced EDA Python which ensures that you learn perfectly and later on take it to the standard applications in the related industry. After completing the advanced level program with us, you will be writing programs that ask Internet APIs for data by the end of the specialization and extract valuable information from them. And by reading the documentation, you will be able to learn to use new modules and APIs on your own. That will give you a fantastic opportunity to be an independent Python For Data Science programmer. The dictionary data structure and user-defined functions are introduced in this course by us. You will also learn about local and global variables, parameter-passing choices and keywords, named functions, and lambda expressions. Lean Python For Data Science Programming For Advanced Just In : 12,000/ (Inclusive Tax) 50+ hours of Recorded Videos, Bilingual(Hindi + English), Queries/Problems Solution, Interview Support
WHAT IS INCLUDED IN OUR PYTHON FOR ADVANCED EDA COURSE? www.takshilalearning.com
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• Fundamentals of Python • Data visualization using Seaborn Matplotlib • Actual practical use cases like credit risk analysis and zomato delivery analysis. • OOPS concepts and Exception Handling • Python Plotly and Python Cufflinks • Detailed PDFs complimenting the video lectures. • Faculty support via Whatsapp, Con-call • Doubt sessions – Via Whatsapp, Con-call, Webinar • Interview Support – We will be providing you with Interview questions and also conducting mock interviews to give you a definitive edge over the rest of the crowd.
Course Highlights For Python Tutorial For Beginners • • • • •
Validity: 3 Months / 6 Months* 50+ hours of video lectures Detailed PDFs complimenting the video lectures. Certificate: Certificate from Takshila Learning Interview Support: We will be providing you with Interview questions and also conducting mock interviews to give you a definitive edge over the rest of the crowd.
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Language: Bilingual(Hindi + English) Mode of Delivery: Pen drive/Online Classes Queries/Problems Solution: via Online Discussion Forums, Live Chat with Faculty, and over Phone Calls. Data visualization using Seaborn Matplotlib Actual practical use cases like credit risk analysis and Zomato delivery analysis. www.takshilalearning.com
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Register Today In Python Data Analysis & Advance Exploratory Data Analysis Python 50+ hours of Recorded Videos, Bilingual(Hindi + English), Queries/Problems Solution, Interview Support
WHAT ALL WILL YOU LEARN? •
SESSION1: PYTHON INSTALLATION o Video and PDF/HTML file for Introduction to Python o Video and PDF/HTML file for Installation of Python
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SESSION2: PYTHON VARIABLES o Video and PDF/HTML file
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SESSION3: PYTHON OPERATORS o Video and PDF/HTML file for Operators o Video and PDF/HTML file for Range Function
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SESSION4: PYTHON CONDIITONAL STATEMENT o Video and PDF for Conditional Statement and Comparators o Video and PDF for IF-Statement o Video and PDF for IF-ELIF-ELSE Statement o Video and PDF for IF-ELIF-ELSE Statement o Video and PDF for Nested – IF Statement
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SESSION5: PYTHON LOOPING CONCEPT o Video and PDF for For loop o Video and PDF for While o Video and PDF for Break and Continue www.takshilalearning.com
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SESSION6: PYTHON STRING o Video and PDF for String o Video and PDF for String manipulation
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SESSION7: PYTHON LIST o Video and PDF for List o Video and PDF for List Comprehension
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SESSION8: PYTHON TUPLE o Video and PDF for Tuple o Video and PDF for Tuple Operations
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SESSION9: PYTHON DICTIONARY o Video and PDF for Dictionary o Video and PDF for Dictionary Comprehension
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SESSION10: PYTHON SET o Video and PDF for Set o Video and PDF for Set Operations
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SESSION11: PYTHON FUNTION o Video and PDF for Python Function
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SESSION12: PYTHON MAP, REDUCE AND FILTER FUNCTIONS o Video and PDF for Map Function o Video and PDF for Reduce Function o Video and PDF for Filter Function o Video and PDF for lambda Function www.takshilalearning.com
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SESSION13: PYTHON WORKING WITH FILES o Video and PDF for Reading and Saving file as .CSV and Text
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SESSION14: OOPS CONCEPTS o Video and PDF for on OOPS basics o Video and PDF for Creating classes and Objects
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SESSION15: EXCEPTION HANDLING o Video and PDF on Exception Handling
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SESSION16: PYTHON NUMPY o Video and PDF for Python Numpy
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SESSION17: PYTHON PANDAS o Video and PDF for Python Pandas
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SESSION18: PYTHON MATPLOTLIB o Video and PDF for Python Matplotlib
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SESSION19: PYTHON SEABORN o Video and PDF for Seaborn, Data Visualisation with Seaborn
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SESSION20: BASIC STATISTICS o Video and PDF for Basic Statistics
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SESSION21: Python Plotly o Video and PDF for Python Plotly www.takshilalearning.com
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SESSION22: Python Cufflinks o Video and PDF for Python Cufflinks
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SESSION23: EDA o Video and PDF for EDA Explaination
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SESSION24: USE CASE o Video and PDF for Use Case-1 on Zomato Dataset o Video and PDF for Use Case-2 on Bike-Sharing Dataset o Video and PDF for Use Case-3 on Bank Marketing Data o Video and PDF for Use Case-4 on Bank Risk Detection o Video and PDF for Use Case-5 on Credit card Fraud Data
Read our Previous Reviews For Exploratory Data Analysis Python
The services have been extremely good. Every query was solved as soon as it was posted. The guidance was appropriate and I am looking forward to appearing for December Exams with Takshila Learning. Prerna you have really been of great help and support. – Shimoni Takshila Learning provides many professional courses with superb services. I have taken the DipIFR Online Course that makes it easy for me to study from anywhere and according to my time. Even the faculty’s teaching style is spectacular; it makes the topic easily understandable without any rush. I don’t have a single issue with Takshila Learning. It is a great experience to learn IND AS/IFRS with Takshila Learning. – Jyothi I am very much satisfied with the services provided by Takshila Learning. All of my issues were resolved on time and all the updates are provided by the executives from time to time. Thank you, Team! – Ramesh
About Faculty For Python Data Analysis – Advanced EDA Python
Takshila Learning combined 24+ years of experience in Machine learning, data analysis, and Financial data analytics for this Python for EDA Course prepared bywww.takshilalearning.com
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• Nitin Joseph – certified by IMA Bangalore chapter for RPA and Machine learning in Finance and accounting. • Munmun Ghosal – She is working as a Data Scientist and trainer. She has a total of 9 years of work experience in academics and industry with research areas in Data Analytics, Machine Learning, VLSI, and Signal processing. She is passionate about learning and sharing knowledge, innovation, programming, writing technical blogs. She delivers corporate and onsite training at various industries and Management/Engineering Colleges. She has worked on various projects on Data Analytics, Machine learning and AI, IoT, VLSI, and Signal processing. Her skill set includes R, Python, Tableau, Power BI, VHDL, VERILOG, C Language, C++, Excel, MATLAB, Virtuoso ADE of CADENCE (45 nm), Xilinx ISE, Aldec’s Active HDL, and Microwind. She has presented and published research papers in several reputed national /international journals and conferences. She has completed her M. Tech (VLSI) and B.E. (Electronics Engineering). • Hemant Singh – B.Tech in Computer Science and Engineering(Specialization in Data Analytics). Trains college students and industry professionals specifically on data science. 1-years Experience in Data Analytics Important Tags : Python Course / Exploratory Data Analysis Python / Python For Data Science / Exploratory Data Analysis Python Tutorial For Beginners / Python Class / Python For Data Science Online Course / Python Data Analysis / Python Programming For Beginners / Best Online Python Course / Python Finance Course / Python For Finance / Exploratory Data Analysis Python / ABOUT Takshila Learning is an online education portal to facilitate the knowledge and professional skills through practical education system and easily accessible mode, so that everyone can have the chance to qualify for the today`s competitive world. • • • • •
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[email protected] +91-8800-999-280 +91-8800-999-283 +91-8800-999-284
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