Data Science using Python Training
Learn Data Science using Python, a comprehensive program from H2K Infosys to make Data Science as your career.
About Data Science using Python Training Course
Until recently, 2003 to be specific, people have not realized the importance of data. The social media sites, retail stores, healthcare facilities, banks, e-commerce companies, you name it; almost all the businesses used to discard data due to various reasons. One, storing such a humungous amount of data using traditional storage was impossible, next, processing such data was unthinkable.
Eventually, Big Data term was coined referring to the colossal quantity of data and Hadoop's HDFS came into picture resolving all the storage issues using its unconventional (distributed) storage practice. With the evolution of Big Data Hadoop, Data Science flourished and today it stands to be the future of all businesses. Data Science is crucial for companies and consumers alike.
What makes Data Science using Python an alluring combination is a fact that Python programming language is popular for its easy to learn syntax as compared to other data science languages like R. By 2018, it was studied that 66% of the data scientists started using Python for performing analytics.
Python programming language is more like a boon in disguise where data science is concerned. Not just easy to learn, Python being freely available as it is open source, is like an icing on the cake. No wonder, using Python for Data Science is a deadly combination.
At H2K Infosys, we offer a Data Science course using Python language to tap the growing demand for Data Scientists in the market. Our comprehensive Data Science course is to gain preliminary insight into the technology. We have included all the basic relevant technologies to help our learners emerge out as a frontrunner in the niche.
The application of Data Science is becoming increasingly common day by day. Data Science and Machine Learning concepts are applied for performing
Predictive Analytics - To build models using data science to predict the future. For instance, based on the customer credit payment history, the model predicts whether he is eligible for a loan or will turn out to be a defaulter in the future.
Prescriptive Analytics - This is more of feeding data to a model to help it make its own decisions. For example, the driving statistics of various vehicles are fed into self-driven cars to enable them to self-propel without the help of a driver.
Pattern Discovery - Based on the available data, discover inherent patterns. using the clustering technique in ML.
No matter how much the demand for qualified Data Scientists is, a study by MIT Sloan Management Review shows that 43% of the companies complain about the lack of proper analytical skills.
With almost every domain including finance, insurance, retail, healthcare, social media, e-commerce industry, and so on, hugely dependent on Data Science, a career in Data Science is here to stay. With the ever-growing data, the demand for data scientists is likely to increase explosively.
Enroll for Data Science online course from H2k Infosys to master the technology. Request for a free demo session to make an informed decision on the best online data science course.
Data Science is believed to be the hottest profession in the job market recording a pivotal 28% annual growth.
It is estimated that around 3 million Data Science jobs will be created in the market by 2020.
According to an IDC study, companies will be investing around $ 52 billion on Data Science by the year 2021.
If the above numbers impress you, don't take too long to jump on the bandwagon.
Data Science experts are in demand almost in all sectors of the job market. Though Data Scientists are usually highly educated professionals with either master's or Ph.D. degrees, there are other careers in Data Science you can resort to such as
Business Intelligence Developer
If you are a beginner looking for a career in Data Science or a software professional who wants to make a mid-career shift or a non-IT professional hoping to move to IT, pre-requisites are barely much.
All you need to need is the passion for numbers and an undergrad degree. Basic programming skills are a bonus.
Since our inception in 2005, H2K Infosys has been relentlessly delivering training to thousands of candidates in popular to latest to emerging technologies alike. With the growing popularity of Data Science when paired with Python, we have forayed into offering this course for our learners' benefit.
All the Data Science training batches are handled by experienced trainers who also happen to be industry experts with hands-on implementation knowledge.
Our Data Science courses are live-classroom sessions, led by instructors which can be streamed from the luxury of your home.
Lifetime access to all the recorded videos of entire Data Science training.
Cloud test lab access for practice.
We conduct mock interviews to help our learners build confidence which subsequently enables them to crack the interviews comfortably.
All our online training courses are 100% job oriented.
Our in-house experts create your resume after the Data Science course completion.
Our HR team takes over soon after the course completion to assist in job placement.
With the optimal designing and delivery of Data Science certification online course at H2K Infosys, all our learners emerge out with good command over the technologies which include Statistics Fundamentals, Machine Learning, Python Programming, Data Visualization tool - Tableau, etc. Additionally, working on projects during training helps them gain hands-on practice.
By the end of the course, we are confident that all our learners have an edge over their peers from other institutes. Eventually, this helps them bag their preferred roles and climb up the success ladder seamlessly.
Data Science using Python Training Course Syllabus
In this module, participants will be introduced to Descriptive and Inferential statistics concepts and implementation using real-world data will also be covered. It will end with a case study implementation of EDA.
- Statistics Fundamentals and Implementation
- Exploratory Data Analysis
- ESSENTIALS OF PYTHON PROGRAMMING
- BASIC DATA STRUCTURES AND FUNCTIONS IN PYTHON
- INTRODUCTION TO
-Matplotlib and Seaborn Library
- DATA EXPLORATION USING STATISTICS
Machine Learning algorithms are the backbone of Predictive Modelling. This is where the Crux of Data Science lies. The end objective of solving a data science problem is finding the patterns in the data and represent that in the form of a Data model. The algorithms taught in our course cover almost all of the problems data scientists solve on a regular basis.
- Introduction to Supervised and Unsupervised Learning
- Linear Regression with Multiple Variables
- Logistic Regression
- Decision Trees [CART]
- k-Fold Cross Validation
- Bagging and Bootstrapping
- Random Forest
- Gradient Boosting (XGBoost)
- Principal component Analysis
- K-means clustering
- Hierarchical Clustering
- Market Basket Analysis
- Support Vector Machine
- Naive Bayes
- Time Series Analysis
Tableau is one of the most popular Data Visualization tools used by Data Science and Business Intelligence professionals. In fact, it has been the market leader in reporting tools for almost 10 years (Source: Gartner magic quadrant). Once the predictive analysis of data is done, data scientists generally use Tableau to send out the reports to business which can then take decisions accordingly.
- INTRO TO DATA VISUALIZATION AND TABLEAU
- DATA CONNECTIONS – JOINS AND VIZQL
- BUIDING BASIC CHARTS, CHART TYPES AND MAPPING
- AGGREGATION, PARAMETER
- STATISTICAL ANALYSIS USING TABLEAU – REGRESSION AND BOX PLOTS
- TABLE CALCULATION, CALCULATED FIELDS
- INTEGRATION OF PYTHON WITH TABLEAU
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