Data science & analytics, machine learning and Artificial intelligence; we all agree it's good but the confusion is what/how to study. We hear about multiple choices like data science with python programming, R, SAS, Bigdata etc. but your answer lies in these steps. Step 1: Python basics. We recommend it over R programming. Step 2: Learning data mining techniques. From csv files to databases like MySQL and from cloud based big data to web scraping first learn to mine your data. Step 3: Learning data analytics tools. Now that you have the data you want, let's sharpen our analytics tools like NumPy (ScipY), Pandas etc. Step 4: Learning machine learning algorithms. Data analytics tools used with supervised and unsupervised machine learning algorithms will give you correct predictions. We will learn many machine learning algorithms (in-depth), with a project on each. Step 5: Learning data vizualization. We are not done yet, the analytics report is complex and to understand the predictor and outcome relationship well, we will need to draw graphs using matplotlib and seaborn.
Duration & Pricing
Duration: 4 months in Sat-Sun cycle with each session of 2 hours.
3 or 4 hours per class format available to reduce the class duration.
Weekday and online classes available for python basics.
(1) Python Basics ₹ 7,000
(2,3,5) Data mining, analytics and visualization ₹ 15,000
Web scraping + MySQL + NumPy(Scipy) + Pandas + Matplotlib + Seaborn
(4) Machine learning algorithms and scikit-learn ₹ 22,000