Hello, have you been longing to learn something tangible in the tech industry and you've always found yourself at the bottom after almost every trial or you are stuck learning without significant progress or being able to create a real-world application(a term commonly referred to as tutorial purgatory)?
Maybe that was a description of what you've been passing through or I'm just describing my frustration. If you can relate to the above or you want to start a career in tech and interested in data science, you are highly welcomed.
This journey "learn data science in 3 months" is based on the curriculum given by one of the gurus in the field of data science and the director school of AI Siraj Raval using this link https://github.com/llSourcell/Learn_Data_Science_in_3_Months

Requirements
1. Believe in your ability to learn and unlearn
2. 2-4 study hours per day
3. Data and light considering we are in Nigeria
4. learn to watch videos at 2x speed alongside. a Notebook and pen (accelerated learning)
5. perseverance

This journey is expected not to be strictly based on the curriculum as experienced data scientist and programmers in the house are please been called upon to help make this journey a worthwhile one for beginners like me(us) who wants to dive into tech whether to make a career or hobby out of it by looking into the curriculum and adjusting or suggesting alternatives where possible.

thank you in advance as you decide to join this journey whether as a beginner or an expert to help everyone involved to not only see the light at the end of the tunnel but the beauty and opportunities beyond it.

in this journey, there's going to be 3 projects with one (1) weekly assignment
Tools Used
Python, SQL, R, Tensorflow, Hadoop, MapReduce, Spark, GitHub.

Below is the curriculum for month one extracted from the above link.

Month 1 - Data Analysis

Week 1 - Learn Python
EdX https://www.edx.org/course/introduction-python-data-science-2
Siraj Raval
https://www.youtube.com/watch?v=T5pRlIbr6gg&list=PL2-dafEMk2A6QKz1mrk1uIGfHkC1zZ6UU

Week 2 - Statistics & Probability
KhanAcademy https://www.khanacademy.org/math/statistics-probability

Week 3 Data Pre-processing, Data Visualization, Exploratory Data Analysis
EdX https://www.edx.org/course/introduction-to-computing-for-data-analysis

Week 4 Kaggle Project #1
Try your best at a competition of your choice from Kaggle.
Use Kaggle Learn as a helpful guide

CoLdFLaMeS2:
in this journey, there's going to be 3 projects with one (1) weekly assignment
Tools Used
Python, SQL, R, Tensorflow, Hadoop, MapReduce, Spark, GitHub.

Below is the curriculum for month one extracted from the above link.

Month 1 - Data Analysis

Week 1 - Learn Python
EdX https://www.edx.org/course/introduction-python-data-science-2
Siraj Raval
https://www.youtube.com/watch?v=T5pRlIbr6gg&list=PL2-dafEMk2A6QKz1mrk1uIGfHkC1zZ6UU

Week 2 - Statistics & Probability
KhanAcademy https://www.khanacademy.org/math/statistics-probability

Week 3 Data Pre-processing, Data Visualization, Exploratory Data Analysis
EdX https://www.edx.org/course/introduction-to-computing-for-data-analysis

Week 4 Kaggle Project #1
Try your best at a competition of your choice from Kaggle.
Use Kaggle Learn as a helpful guide

selling d popular snake oil as usual?

Y cant other languages be used for data science/Machine learning? What's d big deal about this python lang? A slow insecure language that's fast to bang out hard to analyse code in but easy for noobs to pickup and hence for unprofessionals nd sloppy thinkers to flood into d industry.

asalimpo:

selling d popular snake oil as usual?

Y cant other languages be used for data science/Machine learning? What's d big deal about this python lang? A slow insecure language that's fast to bang out hard to analyse code in but easy for noobs to pickup and hence for unprofessionals nd sloppy thinkers to flood into d industry.

Slow down bros...I share your opinion on "why python must be used for ML, AI and Data Science lesson?", but I have come to realize the support of python for Data Science is already huge and will always attract more people seeking to learn AI, ML and DS towards python as a lang.

One thing I also realize is that python was meant to trade off security features for ai-centric task accomplishment and speed. It is just a matter of python as a language being tailored to be like that purposefully and not necessarily a flaw.

asalimpo:

selling d popular snake oil as usual?

Y cant other languages be used for data science/Machine learning? What's d big deal about this python lang? A slow insecure language that's fast to bang out hard to analyse code in but easy for noobs to pickup and hence for unprofessionals nd sloppy thinkers to flood into d industry.

I personally think the big deal about python is its learning curve for beginners. Nobody started with addition and subtraction in their nursery school days but identification of numbers.
Improvement and innovation is one thing I've seen all over the tech industry so don't worry, other languages will soon be used for data science, ML and others.
N.B. I didn't mention R because I don't know of its ML capabilities yet.

Week one - Learn Python.

I found a great course on python which is absolutely free.
It is a 6 hours course tailored towards beginners with 3 projects centred around automation, machine learning and web development with django offered by Mosh Hamedani on his YouTube channel.
Follow the link below if interested

https://www.youtube.com/watch?v=_uQrJ0TkZlc

Please continue to posting the curriculum. I need it please.

CoLdFLaMeS2:
Hello, have you been longing to learn something tangible in the tech industry and you've always found yourself at the bottom after almost every trial or you are stuck learning without significant progress or being able to create a real-world application(a term commonly referred to as tutorial purgatory)?
Maybe that was a description of what you've been passing through or I'm just describing my frustration. If you can relate to the above or you want to start a career in tech and interested in data science, you are highly welcomed.
This journey "learn data science in 3 months" is based on the curriculum given by one of the gurus in the field of data science and the director school of AI Siraj Raval using this link https://github.com/llSourcell/Learn_Data_Science_in_3_Months

Requirements
1. Believe in your ability to learn and unlearn
2. 2-4 study hours per day
3. Data and light considering we are in Nigeria
4. learn to watch videos at 2x speed alongside. a Notebook and pen (accelerated learning)
5. perseverance

This journey is expected not to be strictly based on the curriculum as experienced data scientist and programmers in the house are please been called upon to help make this journey a worthwhile one for beginners like me(us) who wants to dive into tech whether to make a career or hobby out of it by looking into the curriculum and adjusting or suggesting alternatives where possible.

thank you in advance as you decide to join this journey whether as a beginner or an expert to help everyone involved to not only see the light at the end of the tunnel but the beauty and opportunities beyond it.

Hello Bro

Please how do I start. Lots of stuffs here.
Do I download the YouTube videos first

olaboy33:



Hello Bro

Please how do I start. Lots of stuffs here.
Do I download the YouTube videos first

Use lambda school data science curriculum and download tutorials accordingly