Python , R programming for Data Science Absolute Beginners

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  • Python , R programming for Data Science  Absolute Beginners
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
    Genre: eLearning | Language: English | Duration: 123 lectures (12 hour) | Size: 4.88 GB
    Learn to write code in Python and R for Data Science. Learn art of Data Analysis and Visualizations .

Python , R programming for Data Science  Absolute Beginners MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 123 lectures (12 hour) | Size: 4.88 GB Learn to write code in Python and R for Data Science. Learn art of Data Analysis and Visualizations . What you'll learn Start Data Science python and R programming professionally . Start using powerful Python libraries used in Data Science project Pandas , NumPy with Python Start using powerful ggDescription libraries used in Data Science project in R Extract data from various websites,twitter, pdf files, csv and RDBMS databases Start doing the extrapolatory data analysis ( EDA) on any kind of data and start making the meaningful business decisions Start making visualisations charts - bar chart , box Descriptions which will give the meaningful insights Learn the art of doing EDA on excel Integrate SQL with python and R programming Solve the real world problem with the case studies And Probably start applying for the best job in the world Do hands on 8 - real world case studies like Covid19, Bank Marketing, Investment , Uber Demand Supply Requirements Students must be passionate about Data Good to have High school level math skills Desktop computer/ laptop for installing software for Python and R Description **** Lifetime access to course materials . Udemy offers a 30-day refund guarantee for all courses **** The course is packed with real life projects examples Get Transformed from Beginner to Expert . Become expert in using Python Pandas,NumPy libraries ( the most in-demand ) Become expert in R programming. Source Codes are provided for each session in Python so that you can practise along with the lectures.. Start doing the extrapolatory data analysis ( EDA) on any kind of data and start making the meaningful business decisions Start python and R programming professionally Extract data from various sources like websites, pdf files, csv and RDBMS databas Start using the highest in-demand libraries used in Data Science / Data Analysis project : Pandas , NumPy ,ggDescription Start making visualizations charts - bar chart , box Descriptions which will give the meaningful insights Learn the art of Data Analysis , Visualizations for Data Science Projects Learn to play with SQL on R and Python Console. Integrate RDBMS database with R and Python Real world Case Studies Include the analysis from the following datasets 1. Melbourne Real Estate ( Python ) 2. Market fact data.( Python ) 3. Car Datasets( Python ) 4. Covid 19 Datasets( Python ) 5. Uber Demand Supply Gap ( R ) 6. Bank Marketing datasets ( R ) 7. Investment Case Study (Excel) 8. Market fact data.( SQL) Who this course is for: Looking to change career into Data Science field Beginner who are passionate about Data Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
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