This course is designed to get a good grip on python programming, logic building, solving algorithm-based questions, data structures, understanding of data analytics, working with pandas, professional practices, and API building.

This repository shows individual programming tasks + programming practice tasks in Python (Pandas, Numpy, Jupyter Notebooks) which I completed during Applied Data Science course on Coursera.

This is a repo of unfiltered/unorganised data. The aim is to have an accessible data folder for programming courses. Example use: loading an excel file using pandas in colab and simply experimenting with pandas for data-science practice.

Master Pandas programming with 3 beginner-to-advanced courses. Interactive labs and guided projects perfect for new programmers.

Data Science is one of the hottest professions of the decade and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Professional Certificate from IBM will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills and experience. The program consists of 10 online courses that will provide you with the latest job-ready tools and skills, including open source tools and libraries, Python, databases, SQL, data visualisation, data analysis, statistical analysis, predictive modelling, and machine learning algorithms. You’ll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets. This Professional Certificate has a strong emphasis on applied learning. Except for the first course, all other courses include a series of hands-on labs in the IBM Cloud that will give you practical skills with applicability to real jobs, including: Tools: Jupyter / JupyterLab, GitHub, R Studio, and Watson Studio Libraries: Pandas, NumPy, Matplotlib, Seaborn, Folium, ipython-sql, Scikit-learn, ScipPy, etc. Projects: random album generator, predict housing prices, best classifier model, predicting successful rocket landing, dashboard and interactive mapping

Practice programs and project of Pandas Course on Udemy

The repository created for practice python programming to access the MS excel. Especially the course will teach the API's for access and control the Excel files. In this course mainly will focus on openpyxl and pandas API's.

In this course, graduate students will gain experience using python language-based tools to analyze weather and climate datasets, and learn tools that will allow for the development of statistical representations of data and their uncertainties. Topics covered will include (1) object-oriented python programming, (2) version control, open source, and open data best practices, (3) using pandas and xarray for wrangling data, (4) parallelization in python and big data, (5) supervised learning, including linear, logistic, Bayesian, random forest regression techniques, and (6) unsupervised learning, including clustering, empirical orthogonal functions, and neural and deep learning.

DE Stuff - Programming & DSA in Python Distrubuted computation & storage -Hadoop - imp - spark,spark sql file format - json,avro,parquet type of data - structiured & semi sturectured processing mechniasm - batch & real time pub sub -kafka or AWS Kinesis data warehuse desginng amazon - ecomerce, netflix sql complex transactional & no sql databases - key value ,document,columanr base,graph base db,-mongodb,caseendra,hbase - data visualization tools- ETL tools cloud services- experience 🔥𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀🔥 🔴 Data Engineer Roadmap Document : ➡️https://docs.google.com/document/d/1g...​ 🔴 Python : ➡️ https://www.youtube.com/watch?v=_uQrJ...​ ➡️ https://www.programiz.com/python-prog...​ 🔴 Scala : ➡️ https://www.youtube.com/watch?v=LQVDJ...​ ➡️ http://allaboutscala.com/​ 🔴 Java : ➡️ https://www.youtube.com/watch?v=eIrMb...​ ➡️ https://beginnersbook.com/java-tutori...​ 🔴 Linux, Unix, Shell Scripting : ➡️ https://practice.geeksforgeeks.org/ba...​ ➡️ Above one is free course with invitation code - ELEARNINGBLINUX 🔴 Data Structures & Algorithms : ➡️ https://www.youtube.com/watch?v=5_5oE...​ ➡️ https://www.geeksforgeeks.org/​ ➡️ https://leetcode.com/​ 🔴 DBMS : ➡️ https://www.youtube.com/watch?v=kBdlM...​ ➡️ https://www.studytonight.com/dbms/​ 🔴 SQL Scripting : ➡️ https://www.youtube.com/watch?v=HXV3z...​ ➡️ https://www.youtube.com/watch?v=7S_tz...​ ➡️ https://www.w3schools.com/sql/​ 🔴 Basic Terminologies In BigData : ➡️ https://data-flair.training/blogs/wha...​ ➡️ https://www.edureka.co/blog/what-is-b...​ 🔴 Data Exploration Libraries : ➡️ Pandas - https://www.youtube.com/watch?v=UB3DE...​ ➡️ NumPy - https://www.youtube.com/watch?v=DI8wg...​ 🔴 Data Warehousing Concepts : ➡️ https://www.youtube.com/watch?v=J326L...​ ➡️https://www.tutorialspoint.com/dwh/dw...​. 🔴 BigData Frameworks (Hadoop, Hive, Spark, Sqoop, Nifi, Flume) : ➡️ https://www.youtube.com/results?searc...​ ➡️ https://www.youtube.com/user/edurekaIN​ ➡️ https://data-flair.training/​ ➡️ https://www.edureka.co/​ 🔴 Workflow Schedulers, Dependency Management : ➡️ https://www.youtube.com/watch?v=niJ06...​ ➡️ https://www.youtube.com/watch?v=6RebQ...​ 🔴 NoSQL Databases : ➡️ HBase - https://www.youtube.com/watch?v=NOX6-...​ ➡️ Cassandra - https://www.youtube.com/watch?v=iDhIj...​ ➡️ Elastic Search - https://www.youtube.com/watch?v=1Envk...​ ➡️ MongoDB - https://www.youtube.com/watch?v=pWbMr...​ 🔴 Apache Kafka : ➡️ https://www.youtube.com/watch?v=daRyk...​ 🔴 Dashboarding Tools : ➡️ Tableau - https://www.youtube.com/watch?v=aHaOI...​ ➡️ PowerBI - https://www.youtube.com/watch?v=3u7MQ...​ ➡️ Grafana - https://www.youtube.com/watch?v=CjABE...​ ➡️ Kibana - https://www.youtube.com/watch?v=gQ1c1...​ 🔴 BigData Services in Cloud (AWS) : ➡️ https://www.youtube.com/watch?v=k1RI5...​ ➡️ https://www.youtube.com/watch?v=8PyLr...​ ➡️ https://www.simplilearn.com/aws-big-d...​ 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝘁𝗼𝗽𝗶𝗰𝘀 𝗶𝗻 𝗦𝗤𝗟 : 📌 Joins 📌 Group By 📌 Nested joins 📌 Case-When conditions 📌 Window functions 𝗧𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸 𝗳𝗼𝗿 𝗿𝗲𝗮𝗹𝘁𝗶𝗺𝗲 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 : 📌 Apache Kafka 📌 Apache Flink 📌 Apache Storm 📌 AWS Kinesis 📌 Spark Streaming 𝗕𝗶𝗴𝗗𝗮𝘁𝗮 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 𝗮𝗻𝗱 𝗛𝗮𝗱𝗼𝗼𝗽 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 : 📌 Hadoop architecture, Map-Reduce, HDFS, Yarn 📌 Apache Spark 📌 Hive 📌 Flume 📌 Sqoop 📌 Zookeeper 📌 Ambari, Hue 📌 Oozie, Airflow, Azkaban 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗧𝗼𝗼𝗹𝘀 : 📌 Tableau 📌 Power BI 📌 Qlik Sense 📌 Grafana 📌 Kibana 𝗧𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 : 📌 Amazon Aurora 📌 PostgreSQL 📌 MySQL 📌 MariaDB 📌 Oracle 📌 SQL Server 𝗡𝗼-𝗦𝗤𝗟 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 : 📌 DynamoDB 📌 Cassandra 📌 MongoDB 📌 ElasticSearch 📌 HBase 📌 Couchbase 📌 Redis Book - Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python 2nd Edition,