#Free data scientist themes for ms powerpoint how to#
#Free data scientist themes for ms powerpoint full#
#Free data scientist themes for ms powerpoint software#
#Free data scientist themes for ms powerpoint code#
#Free data scientist themes for ms powerpoint free#

#Free data scientist themes for ms powerpoint how to#

How to Learn About Data Collection and Wrangling (Cleaning)Ī significant part of data science work is centered around finding apt data that can help you solve your problem.

#Free data scientist themes for ms powerpoint code#

Simple web apps like a YouTube video downloader, website blocker, music player, plagiarism checker, and so on.ĭeploy these projects on GitHub pages or simply host the code on GitHub so that you learn to use Git.

Games like rock-paper-scissor, spin a yarn, hangman, dice rolling simulator, tic-tac-toe, and so on.

Store the extracted data into a CSV file or a SQL database.

Data Extraction from a website/API endpoints - try to write Python scripts from extracting data from webpages that allow scraping like.

Solve a lot of problems here: HackerRank (beginner-friendly) and LeetCode (solve easy or medium-level questions).

Measure your expertise by solving a lot of problems and building at least 2 projects:

Treehouse offers a good introductory SQL course here.

Intro to SQL and Advanced SQL on Kaggle.

Here's a course on SQL and Databases on the freeCodeCamp YouTube channel.

Here's a Git and GitHub crash course on the freeCodeCamp YouTube channel.

It will help you further in contributing to open-source projects.

Guide for Git and GitHub : complete these tutorials and labs to develop a firm grip over version control.

Coursera Python for Everybody Specialization - this is a specialization encompassing beginner-level concepts, python data structures, data collection from the web, and using databases with python.

#Free data scientist themes for ms powerpoint free#

Intermediate python - Another free course by Patrick featured on.Python Course by freecodecamp on YouTube - This is a 5-hour course that you can follow to practice the basic concepts.Python certifications on freeCodeCamp – freeCodeCamp offers several certifications based on Python, such as scientific computing, data analysis, and machine learning.It is a short tutorial covering all the important topics for data science. Kaggle - a free and interactive guide to learning python.You get an interactive shell to practice those topics side-by-side. It covers all the basic programming topics from scratch. Comfort using the Terminal, version control in Git, and using GitHub.SQL scripting: Querying databases using joins, aggregations, and subqueries.Common data structures (data types, lists, dictionaries, sets, tuples), writing functions, logic, control flow, searching and sorting algorithms, object-oriented programming, and working with external libraries.Specific programming topics to know include: Every data science job description will ask for programming expertise in at least one languages.

#Free data scientist themes for ms powerpoint software#

How to Learn About Programming or Software Engineeringįirst, make sure you have sound programming skills. Let’s deep dive into each of these strata, starting from the bottom. Important NOTE: Take it one day at a time, one video/blog/chapter a day. I’ve added a few project ideas, portals, and platforms that you can use to measure your proficiency. We’d be able to measure the knowledge gained by applying the learned topics to a number of real-world projects. Specificity comes from examining the critical topics in each layer and the resources needed to master those topics. We’ll now have to deep dive into each of these strata to complete our framework with more specific, measurable details. This will mark the base of our framework. Data science tasks in the order of complexity Here is a pyramid that depicts the high-level skills in order of their complexity and application in the industry. I have also added an estimated time for a beginner to complete each level with exercises and projects. My roadmap assigns weights to each level based on the complexity and commonality of its application in the real-world. It charts out a multi-level skills map with details about what skills you want to hone, how you will measure the outcome at each level, and techniques to further master each skill.

What is a learning roadmap?Ī learning roadmap is an extension of a curriculum. Also, this was created with Python in mind as I personally prefer it. You can adapt this roadmap to better suit any specific domain or field of study that interests you. This is not the be-all and end-all learning plan. Just a note: I've prepared this roadmap based on my personal experience in data science. This post intends to strengthen your plan by providing you with a learning framework, resources, and project ideas to help you build a solid portfolio of work showcasing expertise in data science.

#Free data scientist themes for ms powerpoint full#

If you add in a bit of planning, some well-envisioned goals, and a learning roadmap, you'll have a great recipe for a year full of growth. Although nothing really changes but the date, a new year fills everyone with the hope of starting things afresh.