✨DATA SCIENTIST ROADMAP✨
Long tweet on the required knowledge for becoming a data scientist from my experience:
1) Statistics fundamentals
1.1) Measuring probability
1.2) Combinatorics and Permutations
1.3) probability axioms
1.3) Conditional probability
1.4) Distributions
1.5) Random Variables
1.6) Expected Value
1.7) Central tendency measurements and sampling
1.8) Hypothesis testing
1.9) Boostrapping
2) Linear algebra fundamentals
2.1) Vectors
2.2) Operations between vectors
2.3) Cross product and Dot product
2.4) Matrix multiplication
2.5) Inverse Matrix
2.6) Linear Transformations
2.7) Gradient descent
3) Advanced SQL
3.1) Common DML operations
3.2) Common DDL and DQL operations
3.3) Joining tables (anti joining too)
3.5) Subqueries
3.6) Group by
3.7) Having vs Where
3.8) UNION
3.9) Temporal tables vs subqueries
3.10) Creating tables from queries
3.11) DB Engine architecture fundamentals
3.12) Query optimizer fundamentals and expected path
4) Intermediate level Python, Pandas, Numpy and Matplotlib
4.0) Python fundamentals:
4.0.1) Common data structures
4.0.2) Conditional flow
4.0.3) Iteration structures
4.0.4) Functions
4.0.5) Objects and classes
4.0.6) Packages, PIP and importing
4.0.7) Namespaces
4.0.8) Inheritance
4.1) Data collection (Models Lifecycle)
4.2) Data preparation (Models lifecycle)
4.3) Data wrangling and transformation (Models lifecycle)
4.4) Data plotting (Models lifecycle)
5) ML algorithms
5.1) Classic ML models: Linear Regression, Logistic Regression, Clustering, Random Trees, KNN, Support Vector Machines
5.2) N-fold cross validation
5.3) Categorical values handling
5.4) Normalization and Standardization
5.5) Checking for correlated features
5.6) Bias vs variance tradeoff
5.7) Important effectiveness metrics of each model
5.8) Fine tuning parameters and hyperparameters
6) Deep Learning
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Finally the Indian Government bans 59 mobile apps including #TikTok, UC Browser and other Chinese apps included in this list.
Retweet if you also happy about this news. 👌
IIT (ISM), धनबाद द्वारा नैनो टैक्नॉलाजी के उपयोग से ऐसी कोटिंग तैयार की है जिसके संपर्क में आने से वॉयरस और बैक्टीरिया जैसे सूक्ष्म जीव नष्ट हो जाते हैं।
इस कोटिंग के द्वारा कपड़ों को PPE जैसा उपयोगी बनाया जा सकता है। यह अधिक सुविधाजनक होने ��े साथ ही सुरक्षित भी होगा।
“What is investment?
Usain Bolt won 8 gold medals in 3 Olympics, and he only ran for less than 115 seconds on the track, earning $119 million dollars. That’s economy of effort.
But for those 2 minutes, he trained for 20 years. That’s investment. Think long term. Patience pays.”
It’s clear that the post-COVID world will be a very different one. Trying to reflect on what will change permanently & what will revert to normal. Can you fill in the rest of the sentence? “After the pandemic we will...” Example: “...we will still avoid shaking hands.”